The algorithm is designed to solve the global problem of multi-objective optimization with constraints in the context of greenhouse gas assessment and mitigation.Artificial intelligence provides unique opportunities f...The algorithm is designed to solve the global problem of multi-objective optimization with constraints in the context of greenhouse gas assessment and mitigation.Artificial intelligence provides unique opportunities for analyzing large amounts of data and identifying hidden relationships between various factors affecting emissions.The use of AI makes it possible to develop effective emission reduction strategies,predict the consequences of various scenarios,and evaluate the effectiveness of decisions made.Machine learning algorithms are capable of modeling complex systems such as energy infrastructure,transportation,and industry to determine the best ways to minimize emissions.The greenhouse effect and related climate change pose one of the most serious threats to our future.Innovative approaches and modern technologies are needed to effectively combat these problems.Government intelligence,in particular,Giga Chat,offers a variety of services for analysts,forecasting,and user support.Their use can significantly accelerate the transition to sustainable development and achieve the goals of the Paris Agreement to limit global temperature growth to 1.5℃.However,realizing the potential of AI requires careful preparation and consideration of many factors,including data quality,ethics,and technical aspects.Only through the joint efforts of scientists,politicians,and society will we be able to overcome the challenge of climate change and build a future that is safe for future generations.展开更多
BACKGROUND With the rising use of endoscopic submucosal dissection(ESD)and endoscopic mucosal resection(EMR),patients are increasingly questioning various aspects of these endoscopic procedures.At the same time,conver...BACKGROUND With the rising use of endoscopic submucosal dissection(ESD)and endoscopic mucosal resection(EMR),patients are increasingly questioning various aspects of these endoscopic procedures.At the same time,conversational artificial intelligence(AI)tools like chat generative pretrained transformer(ChatGPT)are rapidly emerging as sources of medical information.AIM To evaluate ChatGPT’s reliability and usefulness regarding ESD and EMR for patients and healthcare professionals.METHODS In this study,30 specific questions related to ESD and EMR were identified.Then,these questions were repeatedly entered into ChatGPT,with two independent answers generated for each question.A Likert scale was used to rate the accuracy,completeness,and comprehensibility of the responses.Meanwhile,a binary category(high/Low)was used to evaluate each aspect of the two responses generated by ChatGPT and the response retrieved from Google.RESULTS By analyzing the average scores of the three raters,our findings indicated that the responses generated by ChatGPT received high ratings for accuracy(mean score of 5.14 out of 6),completeness(mean score of 2.34 out of 3),and comprehensibility(mean score of 2.96 out of 3).Kendall’s coefficients of concordance indicated good agreement among raters(all P<0.05).For the responses generated by Google,more than half were classified by experts as having low accuracy and low completeness.CONCLUSION ChatGPT provided accurate and reliable answers in response to questions about ESD and EMR.Future studies should address ChatGPT’s current limitations by incorporating more detailed and up-to-date medical information.This could establish AI chatbots as significant resource for both patients and health care professionals.展开更多
基金financed as part of the project“Development of a methodology for instrumental base formation for analysis and modeling of the spatial socio-economic development of systems based on internal reserves in the context of digitalization”(FSEG-2023-0008).
文摘The algorithm is designed to solve the global problem of multi-objective optimization with constraints in the context of greenhouse gas assessment and mitigation.Artificial intelligence provides unique opportunities for analyzing large amounts of data and identifying hidden relationships between various factors affecting emissions.The use of AI makes it possible to develop effective emission reduction strategies,predict the consequences of various scenarios,and evaluate the effectiveness of decisions made.Machine learning algorithms are capable of modeling complex systems such as energy infrastructure,transportation,and industry to determine the best ways to minimize emissions.The greenhouse effect and related climate change pose one of the most serious threats to our future.Innovative approaches and modern technologies are needed to effectively combat these problems.Government intelligence,in particular,Giga Chat,offers a variety of services for analysts,forecasting,and user support.Their use can significantly accelerate the transition to sustainable development and achieve the goals of the Paris Agreement to limit global temperature growth to 1.5℃.However,realizing the potential of AI requires careful preparation and consideration of many factors,including data quality,ethics,and technical aspects.Only through the joint efforts of scientists,politicians,and society will we be able to overcome the challenge of climate change and build a future that is safe for future generations.
基金Supported by Ningbo Top Medical and Health Research Program,No.2023020612the Ningbo Leading Medical&Healthy Discipline Project,No.2022-S04+1 种基金the Medical Health Science and Technology Project of Zhejiang Provincial Health Commission,No.2022KY315Ningbo Science and Technology Public Welfare Project,No.2023S133.
文摘BACKGROUND With the rising use of endoscopic submucosal dissection(ESD)and endoscopic mucosal resection(EMR),patients are increasingly questioning various aspects of these endoscopic procedures.At the same time,conversational artificial intelligence(AI)tools like chat generative pretrained transformer(ChatGPT)are rapidly emerging as sources of medical information.AIM To evaluate ChatGPT’s reliability and usefulness regarding ESD and EMR for patients and healthcare professionals.METHODS In this study,30 specific questions related to ESD and EMR were identified.Then,these questions were repeatedly entered into ChatGPT,with two independent answers generated for each question.A Likert scale was used to rate the accuracy,completeness,and comprehensibility of the responses.Meanwhile,a binary category(high/Low)was used to evaluate each aspect of the two responses generated by ChatGPT and the response retrieved from Google.RESULTS By analyzing the average scores of the three raters,our findings indicated that the responses generated by ChatGPT received high ratings for accuracy(mean score of 5.14 out of 6),completeness(mean score of 2.34 out of 3),and comprehensibility(mean score of 2.96 out of 3).Kendall’s coefficients of concordance indicated good agreement among raters(all P<0.05).For the responses generated by Google,more than half were classified by experts as having low accuracy and low completeness.CONCLUSION ChatGPT provided accurate and reliable answers in response to questions about ESD and EMR.Future studies should address ChatGPT’s current limitations by incorporating more detailed and up-to-date medical information.This could establish AI chatbots as significant resource for both patients and health care professionals.
