Although common among community adolescents, self-injuring acts are mainly studied by psychiatrists and psychologists and rarely by social work researchers. The preponderance of medical research in the field has come ...Although common among community adolescents, self-injuring acts are mainly studied by psychiatrists and psychologists and rarely by social work researchers. The preponderance of medical research in the field has come to associate self-injuring acts with mental issues. This view has to a large extent been adopted among professionals as well as among laypeople. When examining adolescents’ unsolicited internet published narratives, this medicalization of self-injuring acts was found to have negative consequences for disclosure and help-seeking, and hence limit the adolescents’ possibilities to get adequate help and support. The main objective of this work is to study adolescents’ views on hampering factors for help-seeking for self-injuring acts and the role of medicalisation for their willingness for disclosure and help-seeking. Disclosure of self-injuring acts within the social network was described as met with demands to seek professional mental help. Seeking professional help was accompanied with fear of being perceived as crazy or diagnosed as mentally ill. Internet websites were described as value free and safe arenas giving opportunity to disclose self-injuring acts without fear of being stigmatized and labelled as mentally ill. An extended involvement of social work researchers and professionals, approaching self-injuring acts not primarily as a sign of mental problems, but as an adolescent way of trying to manage a complicated social context, could enhance finding adequate support systems. It is also necessary that the medical profession contributes to a demedicalization of self-injuring acts.展开更多
As we delve into the intricacies of human disease,millions of people continue to be diagnosed as having what are labelled as pre-conditions or sub-clinical entities and may receive treatments designed to prevent furth...As we delve into the intricacies of human disease,millions of people continue to be diagnosed as having what are labelled as pre-conditions or sub-clinical entities and may receive treatments designed to prevent further progression to clinical disease,but with debatable impact and consequences.Endocrinology is no different,with almost every organ system and associated diseases having subclinical entities.Although the expansion of these“grey”pre-conditions and their treatments come with a better understanding of pathophysiologic processes,they also entail financial costs and drug adverse-effects,and lack true prevention,thus refuting the very foundation of Medicine laid by Hippocrates“Primum non nocere”(Latin),i.e.,do no harm.Subclinical hypothyroidism,prediabetes,osteopenia,and minimal autonomous cortisol excess are some of the endocrine preclinical conditions which do not require active pharmacological management in the vast majority.In fact,progression to clinical disease is seen in only a small minority with reversal to normality in most.Giving drugs also does not lead to true prevention by changing the course of future disease.The goal of the medical fraternity thus as a whole should be to bring this large chunk of humanity out of the hospitals towards leading a healthy lifestyle and away from the label of a medical disease condition.展开更多
The process of medicalization of abortion in Poland began when pregnancy termination procedures were legalized in 1956.The context in which that was possible is important:it happened under the communist rule as part o...The process of medicalization of abortion in Poland began when pregnancy termination procedures were legalized in 1956.The context in which that was possible is important:it happened under the communist rule as part of the Soviet bloc.The main goal of communism was to promote scientific approach to medicine and to eliminate popular folk medicine.The communist rule was also characterized by state feminism,which involved mass employment of women in industry and other occupations.The positive side to the changes was the fact that health care was free of charge.However,the system excluded the care of village healers and abortionists who were replaced by obstetricians-gynecologists,usually men.According to the official propaganda,an abortion that was not performed by a medical professional was dangerous for a woman’s health and could cause her death.Indeed,abortion-related mortality decreased,but the rate of abortion itself did not fall;it gradually increased.This is typical for countries with no free market,including communist ones,where access to contraceptive pills is very limited with abortion being the primary method of birth control.After the fall of communism in Poland,access to abortion was severely restricted;nevertheless,contraceptive pills and morning-after pills are available on prescription from pharmacies.The total fertility rate decreased in comparison to the period of communism and its broad access to abortion.Therefore,I maintain that the process of medicalization of abortion has not ended despite the partial disenfranchisement of women.展开更多
China implemented its Action Plan of Air Pollution Prevention and Control(APAPPC)in 2013 as a major step in national air-quality management.This study treated the APAPPC as a quasi-experiment,drawing on the Grossman a...China implemented its Action Plan of Air Pollution Prevention and Control(APAPPC)in 2013 as a major step in national air-quality management.This study treated the APAPPC as a quasi-experiment,drawing on the Grossman and Cropper models,to examine how air pollution affected individual health capital and medical service demand.Using panel data from the China Health and Retirement Longitudinal Study for 2011,2013,2015,and 2018,the analysis applied a Heckman two-stage model and difference-in-differences estimation to identify the policy's effects on medical expenditure.The results showed that the APAPPC significantly reduced annual health spending,with stronger effects among women,older adults,and rural residents.The mechanism analysis indicated that the reduction in respiratory diseases played a key role.This study provides evidence that supports further airpollution control in China and offers useful insights for other developing countries.展开更多
Fibre Extrusion Technology Ltd(FET)of Leeds,UK reported another successful exhibition at COMPAMED 2025 in Dusseldorf,following closely on the heels of ITMA ASIA in Singapore.This was the second time that FET had exhib...Fibre Extrusion Technology Ltd(FET)of Leeds,UK reported another successful exhibition at COMPAMED 2025 in Dusseldorf,following closely on the heels of ITMA ASIA in Singapore.This was the second time that FET had exhibited at this leading international trade fair for the medical technology supplier sector,a reflection of the company’s growing role in this sector.More than half of FET’s turnover is currently derived from the burgeoning medical market.COMPAMED is aimed at suppliers of a wide range of high-quality medical technology components,services and production equipment for the medical industry.FET’s expanding role in the medical sector is therefore an ideal fit for this trade show.展开更多
Background:Drama therapy as a discipline in clinical and public health areas dates back to movements in the Netherlands,Great Britain and the United States of America in the 1960s.Today,drama therapy comprises a huge ...Background:Drama therapy as a discipline in clinical and public health areas dates back to movements in the Netherlands,Great Britain and the United States of America in the 1960s.Today,drama therapy comprises a huge variety of methods and is applied in numerous medical domains such as psychiatry,pediatrics and neurogeriatrics.Nonetheless,historical and philosophical considerations suggest that at all times dramatic arts have encompassed curative potential and helped to promote mental health.Regarding this perspective,the present article aims to explore the spirit of drama therapy in ancient Chinese and Greek cultures.Methods:Involving cross-cultural psychiatry and medical anthropology,comparative research centred around salutary momentums inhering in drama and dramatic practices in Ancient China and Greece.The entire research process consisted of three phases:(i)screening of ancient Chinese and Greek dramatic rituals and arts to select phenomena and genres with pathological,therapeutic and mental health relevance;(ii)medical ontological processing,in particular from a psychopathological,psychiatric,psychotherapeutic and mental health scientific point of view,to explore and elucidate their curative and preventative features;(iii)transdisciplinary considerations about the evolution of drama therapy,as well as their diverse modes of artistic and medical reasoning.Results:The research process resulted in the identification of five(functional)roots of drama therapy,as well as public health benefits of dramatic arts:(i)dramatic rituals,stage-trance settings and spiritual immersion,(ii)mise-en-scène of divine spheres and alternative worlds,as well as scenic imagination and creative fusion of reality and fantasy,desire and satisfaction,(iii)anthropologic ontology,search of meaning and self-actualisation‘beyond codes and conventions’,(iv)personality traits and differential psychological symbolism,aesthetic self-exploration and auxiliary egos,(v)introjection and role-identity,inventive ways to tackle life problems,‘working through’and catharsis.Conclusion:Interdisciplinary constructivist reasoning suggests that dramatic arts and drama therapy share similar health promoting potential and innate therapeutic power.This calls for further research(i)to explore the entire spectrum of curative factors inhering in dramatic entities,(ii)to explain how drama-based interventions may alleviate mental-health issues alongside culturally sensitive differential diagnostic guidelines,and(iii)to optimise beneficial effects through advanced drama therapeutic settings.The present study suggests that dramatic arts shall also be studied with regard to public health challenges,self-regulation and self-care,mental resilience,well-being and quality of life,and emphatically advocates intensified collaboration between drama theory and drama therapy.展开更多
Generative Adversarial Networks(GANs)have become valuable tools in medical imaging,enabling realistic image synthesis for enhancement,augmentation,and restoration.However,their integration into clinical workflows rais...Generative Adversarial Networks(GANs)have become valuable tools in medical imaging,enabling realistic image synthesis for enhancement,augmentation,and restoration.However,their integration into clinical workflows raises concerns,particularly the risk of subtle distortions or hallucinations that may undermine diagnostic accuracy and weaken trust in AI-assisted decision-making.To address this challenge,we propose a hybrid deep learning framework designed to detect GAN-induced artifacts in medical images,thereby reinforcing the reliability of AI-driven diagnostics.The framework integrates low-level statistical descriptors,including high-frequency residuals and Gray-Level Co-occurrence Matrix(GLCM)texture features,with high-level semantic representations extracted from a pre-trained ResNet18.This dual-stream approach enables detection of both pixel-level anomalies and structural inconsistencies introduced by GAN-based manipulation.We validated the framework on a curated dataset of 10,000 medical images,evenly split between authentic and GAN-generated samples across four modalities:MRI,CT,X-ray,and fundus photography.To improve generalizability to real-world clinical settings,we incorporated domain adaptation strategies such as adversarial training and style transfer,reducing domain shift by 15%.Experimental results demonstrate robust performance,achieving 92.6%accuracy and an F1-score of 0.91 on synthetic test data,and maintaining strong performance on real-world GAN-modified images with 87.3%accuracy and an F1-score of 0.85.Additionally,the model attained an AUC of 0.96 and an average precision of 0.92,outperforming conventional GAN detection pipelines and baseline Convolutional Neural Network(CNN)architectures.These findings establish the proposed framework as an effective and reliable solution for detecting GAN-induced hallucinations in medical imaging,representing an important step toward building trustworthy and clinically deployable AI systems.展开更多
With the advances of our society,the application scope of energy storage technologies has expanded dramatically,spanning diverse scenarios.These include electric air vehicles(EAVs)that require instantaneous high-power...With the advances of our society,the application scope of energy storage technologies has expanded dramatically,spanning diverse scenarios.These include electric air vehicles(EAVs)that require instantaneous high-power bursts for takeoff and maneuvering,portable medical devices demanding rapid rechargeability,and grid-connected energy storage systems that must swiftly respond to load fluctuations[1].展开更多
Over the years,Generative Adversarial Networks(GANs)have revolutionized the medical imaging industry for applications such as image synthesis,denoising,super resolution,data augmentation,and cross-modality translation...Over the years,Generative Adversarial Networks(GANs)have revolutionized the medical imaging industry for applications such as image synthesis,denoising,super resolution,data augmentation,and cross-modality translation.The objective of this review is to evaluate the advances,relevances,and limitations of GANs in medical imaging.An organised literature review was conducted following the guidelines of PRISMA(Preferred Reporting Items for Systematic Reviews and Meta-Analyses).The literature considered included peer-reviewed papers published between 2020 and 2025 across databases including PubMed,IEEE Xplore,and Scopus.The studies related to applications of GAN architectures in medical imaging with reported experimental outcomes and published in English in reputable journals and conferences were considered for the review.Thesis,white papers,communication letters,and non-English articles were not included for the same.CLAIM based quality assessment criteria were applied to the included studies to assess the quality.The study classifies diverse GAN architectures,summarizing their clinical applications,technical performances,and their implementation hardships.Key findings reveal the increasing applications of GANs for enhancing diagnostic accuracy,reducing data scarcity through synthetic data generation,and supporting modality translation.However,concerns such as limited generalizability,lack of clinical validation,and regulatory constraints persist.This review provides a comprehensive study of the prevailing scenario of GANs in medical imaging and highlights crucial research gaps and future directions.Though GANs hold transformative capability for medical imaging,their integration into clinical use demands further validation,interpretability,and regulatory alignment.展开更多
Drug products are specific goods with safety and effectiveness in medical health case.All of researchers(authors),reviewers,and editors must abide by medical ethical obligation,and also must deter to the ethical oblig...Drug products are specific goods with safety and effectiveness in medical health case.All of researchers(authors),reviewers,and editors must abide by medical ethical obligation,and also must deter to the ethical obligation for publication.These guidelines are offered as ethical behavior standards.We now present a set of ethical guidelines for persons engaged in the publication of drug research,specifically,for editors,authors,and reviewers.We believe that the guidelines offered are understood and subscribed to by the pharmaceutical research scientists.They may be helpful to those who are related to the editors,authors,and reviewers of journal publication.展开更多
Soft-tissue motion introduces significant challenges in robotic teleoperation,especially in medical scenarios where precise target tracking is critical.Latency across sensing,computation,and actuation chains leads to ...Soft-tissue motion introduces significant challenges in robotic teleoperation,especially in medical scenarios where precise target tracking is critical.Latency across sensing,computation,and actuation chains leads to degraded tracking performance,particularly around high-acceleration segments and trajectory inflection points.This study investigates machine learning-based predictive compensation for latency mitigation in soft-tissue tracking.Three models—autoregressive(AR),long short-term memory(LSTM),and temporal convolutional network(TCN)—were implemented and evaluated on both synthetic and real datasets.By aligning the prediction horizon with the end-to-end system delay,we demonstrate that prediction-based compensation significantly reduces tracking errors.Among the models,TCN achieved superior robustness and accuracy on complex motion patterns,particularly in multi-step prediction tasks,and exhibited better latency–horizon compatibility.The results suggest that TCN is a promising candidate for real-time latency compensation in teleoperated robotic systems involving dynamic soft-tissue interaction.展开更多
BACKGROUND Gastrointestinal endoscopy technology has significantly improved the diagnostic accuracy and the successful treatment of gastrointestinal diseases.However,a series of ethical issues have emerged,such as exp...BACKGROUND Gastrointestinal endoscopy technology has significantly improved the diagnostic accuracy and the successful treatment of gastrointestinal diseases.However,a series of ethical issues have emerged,such as expanding treatment indications,which affect the fair distribution of medical resources.There is limited research on ethical issues in the field of digestive endoscopy.AIM To investigate the level of ethical awareness among gastrointestinal endoscopy practitioners and analyze the ethical issues involved in gastrointestinal endoscopy technology.METHODS A questionnaire survey was performed to collect relevant data(gender,age,degree of education,professional title,personnel category,the level of understanding medical ethical principles,ethics training and its learning pathways)from gastrointestinal endoscopy practitioners at the Second Hospital of Dalian Medical University and Dalian Friendship Hospital,including licensed physicians and nurses(including trainees and graduate students).RESULTS The majority of gastrointestinal endoscopy practitioners have received training on ethics,but there is still considerable room for improvement in their ethical awareness.Different learning pathways may affect the mastery of ethical principles, and understanding of ethical principles is more easily achieved through hospital ethics institutions.CONCLUSIONTo address the ethical issues in gastrointestinal endoscopy technology, it is necessary to enhance the humanisticeducation of gastrointestinal endoscopy practitioners, incorporate ethical standards into the technology assessmentprocess, and establish a patient-centered diagnostic and treatment model to improve the ethical awareness of practitionersand achieve a balance between technology and ethics.展开更多
Lung cancer remains a major global health challenge,with early diagnosis crucial for improved patient survival.Traditional diagnostic techniques,including manual histopathology and radiological assessments,are prone t...Lung cancer remains a major global health challenge,with early diagnosis crucial for improved patient survival.Traditional diagnostic techniques,including manual histopathology and radiological assessments,are prone to errors and variability.Deep learning methods,particularly Vision Transformers(ViT),have shown promise for improving diagnostic accuracy by effectively extracting global features.However,ViT-based approaches face challenges related to computational complexity and limited generalizability.This research proposes the DualSet ViT-PSO-SVM framework,integrating aViTwith dual attentionmechanisms,Particle Swarm Optimization(PSO),and SupportVector Machines(SVM),aiming for efficient and robust lung cancer classification acrossmultiple medical image datasets.The study utilized three publicly available datasets:LIDC-IDRI,LUNA16,and TCIA,encompassing computed tomography(CT)scans and histopathological images.Data preprocessing included normalization,augmentation,and segmentation.Dual attention mechanisms enhanced ViT’s feature extraction capabilities.PSO optimized feature selection,and SVM performed classification.Model performance was evaluated on individual and combined datasets,benchmarked against CNN-based and standard ViT approaches.The DualSet ViT-PSO-SVM significantly outperformed existing methods,achieving superior accuracy rates of 97.85%(LIDC-IDRI),98.32%(LUNA16),and 96.75%(TCIA).Crossdataset evaluations demonstrated strong generalization capabilities and stability across similar imagingmodalities.The proposed framework effectively bridges advanced deep learning techniques with clinical applicability,offering a robust diagnostic tool for lung cancer detection,reducing complexity,and improving diagnostic reliability and interpretability.展开更多
BACKGROUND Drug utilization research has an important role in assisting the healthcare administration to know,compute,and refine the prescription whose principal objective is to enable the rational use of drugs.Resear...BACKGROUND Drug utilization research has an important role in assisting the healthcare administration to know,compute,and refine the prescription whose principal objective is to enable the rational use of drugs.Research in developing nations relating to the cost of treatment is scarce when compared with developed countries.Thus,the drug utilization research studies from developing nations are most needed,and their number has been growing.AIM To evaluate patterns of utilization of antipsychotic drugs and direct medical cost analysis in patients newly diagnosed with schizophrenia.METHODS The present study was observational in type and based on a retrospective cohort to evaluate patterns of utilization of antipsychotic drugs using World Health Organization(WHO)core prescribing indicators and anatomical therapeutic chemical/defined daily dose indicators.We also calculated direct medical costs for a period of 6 months.RESULTS This study has found that atypical antipsychotics are the mainstay of treatment for schizophrenia in every age group and subcategories of schizophrenia.The evaluation based on WHO prescribing indicators showed a low average number of drugs per prescription and low prescribing frequency of antipsychotics from the National List of Essential Medicines 2015 and the WHO Essential Medicines List 2019.The total mean drug cost of our study was 1396 Indian rupees.The total mean cost due to the investigation in our study was 1017.34 Indian rupees.Therefore,the total mean direct medical cost incurred on patients in our study was 4337.28 Indian rupees.CONCLUSION The information from the present study can be used for reviewing and updating treatment policy at the institutional level.展开更多
The integration of machine learning(ML)technology with Internet of Things(IoT)systems produces essential changes in healthcare operations.Healthcare personnel can track patients around the clock thanks to healthcare I...The integration of machine learning(ML)technology with Internet of Things(IoT)systems produces essential changes in healthcare operations.Healthcare personnel can track patients around the clock thanks to healthcare IoT(H-IoT)technology,which also provides proactive statistical findings and precise medical diagnoses that enhance healthcare performance.This study examines how ML might support IoT-based health care systems,namely in the areas of prognostic systems,disease detection,patient tracking,and healthcare operations control.The study looks at the benefits and drawbacks of several machine learning techniques for H-IoT applications.It also examines the fundamental problems,such as data security and cyberthreats,as well as the high processing demands that these systems face.Alongside this,the essay discusses the advantages of all the technologies,including machine learning,deep learning,and the Internet of Things,as well as the significant difficulties and problems that arise when integrating the technology into healthcare forecasts.展开更多
Extreme heat events contribute to high mortality[1,2]and overwhelm emergency medical services through increased ambulance calls and overcrowded emergency departments.[3]Because morbidity and mortality are directly rel...Extreme heat events contribute to high mortality[1,2]and overwhelm emergency medical services through increased ambulance calls and overcrowded emergency departments.[3]Because morbidity and mortality are directly related to both the degree and duration of hyperthermia,timely recognition and management of heat exhaustion and heat stroke are critical for preventing death and reducing healthcare burdens.展开更多
Brain tumors require precise segmentation for diagnosis and treatment plans due to their complex morphology and heterogeneous characteristics.While MRI-based automatic brain tumor segmentation technology reduces the b...Brain tumors require precise segmentation for diagnosis and treatment plans due to their complex morphology and heterogeneous characteristics.While MRI-based automatic brain tumor segmentation technology reduces the burden on medical staff and provides quantitative information,existing methodologies and recent models still struggle to accurately capture and classify the fine boundaries and diverse morphologies of tumors.In order to address these challenges and maximize the performance of brain tumor segmentation,this research introduces a novel SwinUNETR-based model by integrating a new decoder block,the Hierarchical Channel-wise Attention Decoder(HCAD),into a powerful SwinUNETR encoder.The HCAD decoder block utilizes hierarchical features and channelspecific attention mechanisms to further fuse information at different scales transmitted from the encoder and preserve spatial details throughout the reconstruction phase.Rigorous evaluations on the recent BraTS GLI datasets demonstrate that the proposed SwinHCAD model achieved superior and improved segmentation accuracy on both the Dice score and HD95 metrics across all tumor subregions(WT,TC,and ET)compared to baseline models.In particular,the rationale and contribution of the model design were clarified through ablation studies to verify the effectiveness of the proposed HCAD decoder block.The results of this study are expected to greatly contribute to enhancing the efficiency of clinical diagnosis and treatment planning by increasing the precision of automated brain tumor segmentation.展开更多
China’s commitment to high-standard opening-up during its 15th Five-Year Plan period offers Europe an alternative approach to economic resilience.IN medical practice,a wise doctor does not treat a fever by plunging t...China’s commitment to high-standard opening-up during its 15th Five-Year Plan period offers Europe an alternative approach to economic resilience.IN medical practice,a wise doctor does not treat a fever by plunging the patient into an ice bath.The sudden shock may lower the temperature,but it risks systemic collapse.Instead,the proper treatment should support the body’s own resilience,combat the infection.展开更多
Microrobotic systems are emerging as transformative technology for minimally invasive medicine,driven by innovations in actuation mechanisms,advanced fabrication paradigms,and multifunctional system integration.This c...Microrobotic systems are emerging as transformative technology for minimally invasive medicine,driven by innovations in actuation mechanisms,advanced fabrication paradigms,and multifunctional system integration.This comprehensive review analyzes the evolution of microrobotic technologies through three critical dimensions:(1)actuation modalities,including magnetic,optical,acoustic,chemical,and biological actuation,with a focus on the synergistic advantages of hybrid actuation strategies in complex internal physiological environments;(2)Fabrication methods cover technolo-gies such as photolithography,microinjection molding,self-assembly,and 3D printing,emphasizing innovative strategies involving multi-technology integration and collaborative manufacturing of bio/non-bio hybrid materials;(3)Internal phys-iological applications involve disease diagnosis,targeted drug delivery,minimally invasive surgery,tissue engineering,and cell manipulation,highlighting the broad prospects of microrobots in precision medicine.Despite remarkable progress,critical challenges remain,including low actuation efficiency,as seen in acoustic systems,limited biocompatibility,exem-plified by the toxicity of hydrogen peroxide in chemical actuation,delayed clinical translation,and other related challenges that must be addressed to advance the field.展开更多
文摘Although common among community adolescents, self-injuring acts are mainly studied by psychiatrists and psychologists and rarely by social work researchers. The preponderance of medical research in the field has come to associate self-injuring acts with mental issues. This view has to a large extent been adopted among professionals as well as among laypeople. When examining adolescents’ unsolicited internet published narratives, this medicalization of self-injuring acts was found to have negative consequences for disclosure and help-seeking, and hence limit the adolescents’ possibilities to get adequate help and support. The main objective of this work is to study adolescents’ views on hampering factors for help-seeking for self-injuring acts and the role of medicalisation for their willingness for disclosure and help-seeking. Disclosure of self-injuring acts within the social network was described as met with demands to seek professional mental help. Seeking professional help was accompanied with fear of being perceived as crazy or diagnosed as mentally ill. Internet websites were described as value free and safe arenas giving opportunity to disclose self-injuring acts without fear of being stigmatized and labelled as mentally ill. An extended involvement of social work researchers and professionals, approaching self-injuring acts not primarily as a sign of mental problems, but as an adolescent way of trying to manage a complicated social context, could enhance finding adequate support systems. It is also necessary that the medical profession contributes to a demedicalization of self-injuring acts.
文摘As we delve into the intricacies of human disease,millions of people continue to be diagnosed as having what are labelled as pre-conditions or sub-clinical entities and may receive treatments designed to prevent further progression to clinical disease,but with debatable impact and consequences.Endocrinology is no different,with almost every organ system and associated diseases having subclinical entities.Although the expansion of these“grey”pre-conditions and their treatments come with a better understanding of pathophysiologic processes,they also entail financial costs and drug adverse-effects,and lack true prevention,thus refuting the very foundation of Medicine laid by Hippocrates“Primum non nocere”(Latin),i.e.,do no harm.Subclinical hypothyroidism,prediabetes,osteopenia,and minimal autonomous cortisol excess are some of the endocrine preclinical conditions which do not require active pharmacological management in the vast majority.In fact,progression to clinical disease is seen in only a small minority with reversal to normality in most.Giving drugs also does not lead to true prevention by changing the course of future disease.The goal of the medical fraternity thus as a whole should be to bring this large chunk of humanity out of the hospitals towards leading a healthy lifestyle and away from the label of a medical disease condition.
文摘The process of medicalization of abortion in Poland began when pregnancy termination procedures were legalized in 1956.The context in which that was possible is important:it happened under the communist rule as part of the Soviet bloc.The main goal of communism was to promote scientific approach to medicine and to eliminate popular folk medicine.The communist rule was also characterized by state feminism,which involved mass employment of women in industry and other occupations.The positive side to the changes was the fact that health care was free of charge.However,the system excluded the care of village healers and abortionists who were replaced by obstetricians-gynecologists,usually men.According to the official propaganda,an abortion that was not performed by a medical professional was dangerous for a woman’s health and could cause her death.Indeed,abortion-related mortality decreased,but the rate of abortion itself did not fall;it gradually increased.This is typical for countries with no free market,including communist ones,where access to contraceptive pills is very limited with abortion being the primary method of birth control.After the fall of communism in Poland,access to abortion was severely restricted;nevertheless,contraceptive pills and morning-after pills are available on prescription from pharmacies.The total fertility rate decreased in comparison to the period of communism and its broad access to abortion.Therefore,I maintain that the process of medicalization of abortion has not ended despite the partial disenfranchisement of women.
基金Natural Science Foundation of Hubei Province(No.2025AFC041).
文摘China implemented its Action Plan of Air Pollution Prevention and Control(APAPPC)in 2013 as a major step in national air-quality management.This study treated the APAPPC as a quasi-experiment,drawing on the Grossman and Cropper models,to examine how air pollution affected individual health capital and medical service demand.Using panel data from the China Health and Retirement Longitudinal Study for 2011,2013,2015,and 2018,the analysis applied a Heckman two-stage model and difference-in-differences estimation to identify the policy's effects on medical expenditure.The results showed that the APAPPC significantly reduced annual health spending,with stronger effects among women,older adults,and rural residents.The mechanism analysis indicated that the reduction in respiratory diseases played a key role.This study provides evidence that supports further airpollution control in China and offers useful insights for other developing countries.
文摘Fibre Extrusion Technology Ltd(FET)of Leeds,UK reported another successful exhibition at COMPAMED 2025 in Dusseldorf,following closely on the heels of ITMA ASIA in Singapore.This was the second time that FET had exhibited at this leading international trade fair for the medical technology supplier sector,a reflection of the company’s growing role in this sector.More than half of FET’s turnover is currently derived from the burgeoning medical market.COMPAMED is aimed at suppliers of a wide range of high-quality medical technology components,services and production equipment for the medical industry.FET’s expanding role in the medical sector is therefore an ideal fit for this trade show.
文摘Background:Drama therapy as a discipline in clinical and public health areas dates back to movements in the Netherlands,Great Britain and the United States of America in the 1960s.Today,drama therapy comprises a huge variety of methods and is applied in numerous medical domains such as psychiatry,pediatrics and neurogeriatrics.Nonetheless,historical and philosophical considerations suggest that at all times dramatic arts have encompassed curative potential and helped to promote mental health.Regarding this perspective,the present article aims to explore the spirit of drama therapy in ancient Chinese and Greek cultures.Methods:Involving cross-cultural psychiatry and medical anthropology,comparative research centred around salutary momentums inhering in drama and dramatic practices in Ancient China and Greece.The entire research process consisted of three phases:(i)screening of ancient Chinese and Greek dramatic rituals and arts to select phenomena and genres with pathological,therapeutic and mental health relevance;(ii)medical ontological processing,in particular from a psychopathological,psychiatric,psychotherapeutic and mental health scientific point of view,to explore and elucidate their curative and preventative features;(iii)transdisciplinary considerations about the evolution of drama therapy,as well as their diverse modes of artistic and medical reasoning.Results:The research process resulted in the identification of five(functional)roots of drama therapy,as well as public health benefits of dramatic arts:(i)dramatic rituals,stage-trance settings and spiritual immersion,(ii)mise-en-scène of divine spheres and alternative worlds,as well as scenic imagination and creative fusion of reality and fantasy,desire and satisfaction,(iii)anthropologic ontology,search of meaning and self-actualisation‘beyond codes and conventions’,(iv)personality traits and differential psychological symbolism,aesthetic self-exploration and auxiliary egos,(v)introjection and role-identity,inventive ways to tackle life problems,‘working through’and catharsis.Conclusion:Interdisciplinary constructivist reasoning suggests that dramatic arts and drama therapy share similar health promoting potential and innate therapeutic power.This calls for further research(i)to explore the entire spectrum of curative factors inhering in dramatic entities,(ii)to explain how drama-based interventions may alleviate mental-health issues alongside culturally sensitive differential diagnostic guidelines,and(iii)to optimise beneficial effects through advanced drama therapeutic settings.The present study suggests that dramatic arts shall also be studied with regard to public health challenges,self-regulation and self-care,mental resilience,well-being and quality of life,and emphatically advocates intensified collaboration between drama theory and drama therapy.
基金supported and funded by the Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University(IMSIU)(grant number IMSIU-DDRSP2601).
文摘Generative Adversarial Networks(GANs)have become valuable tools in medical imaging,enabling realistic image synthesis for enhancement,augmentation,and restoration.However,their integration into clinical workflows raises concerns,particularly the risk of subtle distortions or hallucinations that may undermine diagnostic accuracy and weaken trust in AI-assisted decision-making.To address this challenge,we propose a hybrid deep learning framework designed to detect GAN-induced artifacts in medical images,thereby reinforcing the reliability of AI-driven diagnostics.The framework integrates low-level statistical descriptors,including high-frequency residuals and Gray-Level Co-occurrence Matrix(GLCM)texture features,with high-level semantic representations extracted from a pre-trained ResNet18.This dual-stream approach enables detection of both pixel-level anomalies and structural inconsistencies introduced by GAN-based manipulation.We validated the framework on a curated dataset of 10,000 medical images,evenly split between authentic and GAN-generated samples across four modalities:MRI,CT,X-ray,and fundus photography.To improve generalizability to real-world clinical settings,we incorporated domain adaptation strategies such as adversarial training and style transfer,reducing domain shift by 15%.Experimental results demonstrate robust performance,achieving 92.6%accuracy and an F1-score of 0.91 on synthetic test data,and maintaining strong performance on real-world GAN-modified images with 87.3%accuracy and an F1-score of 0.85.Additionally,the model attained an AUC of 0.96 and an average precision of 0.92,outperforming conventional GAN detection pipelines and baseline Convolutional Neural Network(CNN)architectures.These findings establish the proposed framework as an effective and reliable solution for detecting GAN-induced hallucinations in medical imaging,representing an important step toward building trustworthy and clinically deployable AI systems.
文摘With the advances of our society,the application scope of energy storage technologies has expanded dramatically,spanning diverse scenarios.These include electric air vehicles(EAVs)that require instantaneous high-power bursts for takeoff and maneuvering,portable medical devices demanding rapid rechargeability,and grid-connected energy storage systems that must swiftly respond to load fluctuations[1].
基金supported by Deanship of Research and Graduate Studies at King Khalid University for funding this work through Large Research Project under grant number RGP2/540/46.
文摘Over the years,Generative Adversarial Networks(GANs)have revolutionized the medical imaging industry for applications such as image synthesis,denoising,super resolution,data augmentation,and cross-modality translation.The objective of this review is to evaluate the advances,relevances,and limitations of GANs in medical imaging.An organised literature review was conducted following the guidelines of PRISMA(Preferred Reporting Items for Systematic Reviews and Meta-Analyses).The literature considered included peer-reviewed papers published between 2020 and 2025 across databases including PubMed,IEEE Xplore,and Scopus.The studies related to applications of GAN architectures in medical imaging with reported experimental outcomes and published in English in reputable journals and conferences were considered for the review.Thesis,white papers,communication letters,and non-English articles were not included for the same.CLAIM based quality assessment criteria were applied to the included studies to assess the quality.The study classifies diverse GAN architectures,summarizing their clinical applications,technical performances,and their implementation hardships.Key findings reveal the increasing applications of GANs for enhancing diagnostic accuracy,reducing data scarcity through synthetic data generation,and supporting modality translation.However,concerns such as limited generalizability,lack of clinical validation,and regulatory constraints persist.This review provides a comprehensive study of the prevailing scenario of GANs in medical imaging and highlights crucial research gaps and future directions.Though GANs hold transformative capability for medical imaging,their integration into clinical use demands further validation,interpretability,and regulatory alignment.
文摘Drug products are specific goods with safety and effectiveness in medical health case.All of researchers(authors),reviewers,and editors must abide by medical ethical obligation,and also must deter to the ethical obligation for publication.These guidelines are offered as ethical behavior standards.We now present a set of ethical guidelines for persons engaged in the publication of drug research,specifically,for editors,authors,and reviewers.We believe that the guidelines offered are understood and subscribed to by the pharmaceutical research scientists.They may be helpful to those who are related to the editors,authors,and reviewers of journal publication.
基金Support by Sichuan Science and Technology Program[2023YFSY0026,2023YFH0004]Guangzhou Huashang University[2024HSZD01,HS2023JYSZH01].
文摘Soft-tissue motion introduces significant challenges in robotic teleoperation,especially in medical scenarios where precise target tracking is critical.Latency across sensing,computation,and actuation chains leads to degraded tracking performance,particularly around high-acceleration segments and trajectory inflection points.This study investigates machine learning-based predictive compensation for latency mitigation in soft-tissue tracking.Three models—autoregressive(AR),long short-term memory(LSTM),and temporal convolutional network(TCN)—were implemented and evaluated on both synthetic and real datasets.By aligning the prediction horizon with the end-to-end system delay,we demonstrate that prediction-based compensation significantly reduces tracking errors.Among the models,TCN achieved superior robustness and accuracy on complex motion patterns,particularly in multi-step prediction tasks,and exhibited better latency–horizon compatibility.The results suggest that TCN is a promising candidate for real-time latency compensation in teleoperated robotic systems involving dynamic soft-tissue interaction.
文摘BACKGROUND Gastrointestinal endoscopy technology has significantly improved the diagnostic accuracy and the successful treatment of gastrointestinal diseases.However,a series of ethical issues have emerged,such as expanding treatment indications,which affect the fair distribution of medical resources.There is limited research on ethical issues in the field of digestive endoscopy.AIM To investigate the level of ethical awareness among gastrointestinal endoscopy practitioners and analyze the ethical issues involved in gastrointestinal endoscopy technology.METHODS A questionnaire survey was performed to collect relevant data(gender,age,degree of education,professional title,personnel category,the level of understanding medical ethical principles,ethics training and its learning pathways)from gastrointestinal endoscopy practitioners at the Second Hospital of Dalian Medical University and Dalian Friendship Hospital,including licensed physicians and nurses(including trainees and graduate students).RESULTS The majority of gastrointestinal endoscopy practitioners have received training on ethics,but there is still considerable room for improvement in their ethical awareness.Different learning pathways may affect the mastery of ethical principles, and understanding of ethical principles is more easily achieved through hospital ethics institutions.CONCLUSIONTo address the ethical issues in gastrointestinal endoscopy technology, it is necessary to enhance the humanisticeducation of gastrointestinal endoscopy practitioners, incorporate ethical standards into the technology assessmentprocess, and establish a patient-centered diagnostic and treatment model to improve the ethical awareness of practitionersand achieve a balance between technology and ethics.
文摘Lung cancer remains a major global health challenge,with early diagnosis crucial for improved patient survival.Traditional diagnostic techniques,including manual histopathology and radiological assessments,are prone to errors and variability.Deep learning methods,particularly Vision Transformers(ViT),have shown promise for improving diagnostic accuracy by effectively extracting global features.However,ViT-based approaches face challenges related to computational complexity and limited generalizability.This research proposes the DualSet ViT-PSO-SVM framework,integrating aViTwith dual attentionmechanisms,Particle Swarm Optimization(PSO),and SupportVector Machines(SVM),aiming for efficient and robust lung cancer classification acrossmultiple medical image datasets.The study utilized three publicly available datasets:LIDC-IDRI,LUNA16,and TCIA,encompassing computed tomography(CT)scans and histopathological images.Data preprocessing included normalization,augmentation,and segmentation.Dual attention mechanisms enhanced ViT’s feature extraction capabilities.PSO optimized feature selection,and SVM performed classification.Model performance was evaluated on individual and combined datasets,benchmarked against CNN-based and standard ViT approaches.The DualSet ViT-PSO-SVM significantly outperformed existing methods,achieving superior accuracy rates of 97.85%(LIDC-IDRI),98.32%(LUNA16),and 96.75%(TCIA).Crossdataset evaluations demonstrated strong generalization capabilities and stability across similar imagingmodalities.The proposed framework effectively bridges advanced deep learning techniques with clinical applicability,offering a robust diagnostic tool for lung cancer detection,reducing complexity,and improving diagnostic reliability and interpretability.
文摘BACKGROUND Drug utilization research has an important role in assisting the healthcare administration to know,compute,and refine the prescription whose principal objective is to enable the rational use of drugs.Research in developing nations relating to the cost of treatment is scarce when compared with developed countries.Thus,the drug utilization research studies from developing nations are most needed,and their number has been growing.AIM To evaluate patterns of utilization of antipsychotic drugs and direct medical cost analysis in patients newly diagnosed with schizophrenia.METHODS The present study was observational in type and based on a retrospective cohort to evaluate patterns of utilization of antipsychotic drugs using World Health Organization(WHO)core prescribing indicators and anatomical therapeutic chemical/defined daily dose indicators.We also calculated direct medical costs for a period of 6 months.RESULTS This study has found that atypical antipsychotics are the mainstay of treatment for schizophrenia in every age group and subcategories of schizophrenia.The evaluation based on WHO prescribing indicators showed a low average number of drugs per prescription and low prescribing frequency of antipsychotics from the National List of Essential Medicines 2015 and the WHO Essential Medicines List 2019.The total mean drug cost of our study was 1396 Indian rupees.The total mean cost due to the investigation in our study was 1017.34 Indian rupees.Therefore,the total mean direct medical cost incurred on patients in our study was 4337.28 Indian rupees.CONCLUSION The information from the present study can be used for reviewing and updating treatment policy at the institutional level.
文摘The integration of machine learning(ML)technology with Internet of Things(IoT)systems produces essential changes in healthcare operations.Healthcare personnel can track patients around the clock thanks to healthcare IoT(H-IoT)technology,which also provides proactive statistical findings and precise medical diagnoses that enhance healthcare performance.This study examines how ML might support IoT-based health care systems,namely in the areas of prognostic systems,disease detection,patient tracking,and healthcare operations control.The study looks at the benefits and drawbacks of several machine learning techniques for H-IoT applications.It also examines the fundamental problems,such as data security and cyberthreats,as well as the high processing demands that these systems face.Alongside this,the essay discusses the advantages of all the technologies,including machine learning,deep learning,and the Internet of Things,as well as the significant difficulties and problems that arise when integrating the technology into healthcare forecasts.
文摘Extreme heat events contribute to high mortality[1,2]and overwhelm emergency medical services through increased ambulance calls and overcrowded emergency departments.[3]Because morbidity and mortality are directly related to both the degree and duration of hyperthermia,timely recognition and management of heat exhaustion and heat stroke are critical for preventing death and reducing healthcare burdens.
基金supported by Institute of Information&Communications Technology Planning&Evaluation(IITP)under the Metaverse Support Program to Nurture the Best Talents(IITP-2024-RS-2023-00254529)grant funded by the Korea government(MSIT).
文摘Brain tumors require precise segmentation for diagnosis and treatment plans due to their complex morphology and heterogeneous characteristics.While MRI-based automatic brain tumor segmentation technology reduces the burden on medical staff and provides quantitative information,existing methodologies and recent models still struggle to accurately capture and classify the fine boundaries and diverse morphologies of tumors.In order to address these challenges and maximize the performance of brain tumor segmentation,this research introduces a novel SwinUNETR-based model by integrating a new decoder block,the Hierarchical Channel-wise Attention Decoder(HCAD),into a powerful SwinUNETR encoder.The HCAD decoder block utilizes hierarchical features and channelspecific attention mechanisms to further fuse information at different scales transmitted from the encoder and preserve spatial details throughout the reconstruction phase.Rigorous evaluations on the recent BraTS GLI datasets demonstrate that the proposed SwinHCAD model achieved superior and improved segmentation accuracy on both the Dice score and HD95 metrics across all tumor subregions(WT,TC,and ET)compared to baseline models.In particular,the rationale and contribution of the model design were clarified through ablation studies to verify the effectiveness of the proposed HCAD decoder block.The results of this study are expected to greatly contribute to enhancing the efficiency of clinical diagnosis and treatment planning by increasing the precision of automated brain tumor segmentation.
文摘China’s commitment to high-standard opening-up during its 15th Five-Year Plan period offers Europe an alternative approach to economic resilience.IN medical practice,a wise doctor does not treat a fever by plunging the patient into an ice bath.The sudden shock may lower the temperature,but it risks systemic collapse.Instead,the proper treatment should support the body’s own resilience,combat the infection.
基金National Natural Science Foundation of China(Grant No.61903157)the Foundation of State Key Laboratory of Robotics(Grand No.2024-O08).
文摘Microrobotic systems are emerging as transformative technology for minimally invasive medicine,driven by innovations in actuation mechanisms,advanced fabrication paradigms,and multifunctional system integration.This comprehensive review analyzes the evolution of microrobotic technologies through three critical dimensions:(1)actuation modalities,including magnetic,optical,acoustic,chemical,and biological actuation,with a focus on the synergistic advantages of hybrid actuation strategies in complex internal physiological environments;(2)Fabrication methods cover technolo-gies such as photolithography,microinjection molding,self-assembly,and 3D printing,emphasizing innovative strategies involving multi-technology integration and collaborative manufacturing of bio/non-bio hybrid materials;(3)Internal phys-iological applications involve disease diagnosis,targeted drug delivery,minimally invasive surgery,tissue engineering,and cell manipulation,highlighting the broad prospects of microrobots in precision medicine.Despite remarkable progress,critical challenges remain,including low actuation efficiency,as seen in acoustic systems,limited biocompatibility,exem-plified by the toxicity of hydrogen peroxide in chemical actuation,delayed clinical translation,and other related challenges that must be addressed to advance the field.
