Artificial intelligence(AI)is increasingly recognized as a transformative force in the field of solid organ transplantation.From enhancing donor-recipient matching to predicting clinical risks and tailoring immunosupp...Artificial intelligence(AI)is increasingly recognized as a transformative force in the field of solid organ transplantation.From enhancing donor-recipient matching to predicting clinical risks and tailoring immunosuppressive therapy,AI has the potential to improve both operational efficiency and patient outcomes.Despite these advancements,the perspectives of transplant professionals-those at the forefront of critical decision-making-remain insufficiently explored.To address this gap,this study utilizes a multi-round electronic Delphi approach to gather and analyses insights from global experts involved in organ transplantation.Participants are invited to complete structured surveys capturing demographic data,professional roles,institutional practices,and prior exposure to AI technologies.The survey also explores perceptions of AI’s potential benefits.Quantitative responses are analyzed using descriptive statistics,while open-ended qualitative responses undergo thematic analysis.Preliminary findings indicate a generally positive outlook on AI’s role in enhancing transplantation processes,particularly in areas such as donor matching and post-operative care.These mixed views reflect both optimism and caution among professionals tasked with integrating new technologies into high-stakes clinical workflows.By capturing a wide range of expert opinions,the findings will inform future policy development,regulatory considerations,and institutional readiness frameworks for the integration of AI into organ transplantation.展开更多
目的构建重症创伤伤员体外膜肺氧合(ECMO)转运方案,为重症创伤伤员ECMO转运提供参考。方法基于循证原则检索建库至2024年9月16日ProVation MD、BMJ Best Practice、UpToDate、英国国家卫生与临床优化研究所、国际指南协作网、美国国立...目的构建重症创伤伤员体外膜肺氧合(ECMO)转运方案,为重症创伤伤员ECMO转运提供参考。方法基于循证原则检索建库至2024年9月16日ProVation MD、BMJ Best Practice、UpToDate、英国国家卫生与临床优化研究所、国际指南协作网、美国国立指南库、WHO、Embase、Cochrane Library、PubMed、Web of Science、CKNI、中国生物医学数据库、维普数据库、万方数据库、医脉通等网站或数据库形成范围综述并构建重症创伤伤员ECMO转运方案初稿。通过2轮Delphi专家咨询法对18名专家函询,小组讨论后形成重症创伤伤员ECMO转运方案终稿。结果共纳入16篇文献,形成了包含人力分工、注意事项等在内的7项一级条目、20项二级条目、67项三级条目的重症创伤伤员ECMO转运方案。2轮函询的有效回收率均为94.4%,专家的权威系数均为0.94,专家意见的Kendall协调系数分别为0.310和0.489(P均<0.01)。结论本研究基于范围综述和Delphi法构建重症创伤伤员ECMO转运方案,形成了以重症创伤ECMO转运的常用模式、工具载体、人力分工、准备工作、监测、注意事项、交接核查为主题的转运方案,对重症创伤伤员具有较强的针对性与临床应用价值,可以为重症创伤伤员ECMO转运提供参考。展开更多
Background Clinical brain-computer interface(BCI)for mental disorders is an emerging interdisciplinary research field,posing new ethical concerns and challenges,yet lacking practical ethical governance guidelines for ...Background Clinical brain-computer interface(BCI)for mental disorders is an emerging interdisciplinary research field,posing new ethical concerns and challenges,yet lacking practical ethical governance guidelines for stakeholders and the entire community.Aims This study aims to establish a multidisciplinary consensus of principles for ethical governance of clinical BCI research for mental disorders and offer practical ethical guidance to stakeholders involved.Methods A systematic literature review,symposium and roundtable discussions,and a pre-Delphi(round 0)survey were conducted to form the questionnaire for the three-round modified Delphi study.Two rounds of surveys,followed by a third round of independent interviews of 25 experts from BCI-related research domains,were involved.We conducted quantitative analysis of responses and agreements among experts to reveal the consensus and differences regarding the ethical governance of mental BCI research from a multidisciplinary perspective.Results The Delphi panel emphasised important concerns of ethical review practices and ethical principles within the BCI context,identified qualified and highly influential institutions and personnel in conducting and advancing clinical BCI research,and recognised prioritised aspects in the risk-benefit evaluation.Experts expressed diverse opinions on specific ethical concerns,including concerns about invasive technology,its impact on humanity and potential social consequences.Agreement was reached that the practices of ethical governance of clinical BCI for mental disorders should focus on patient voluntariness,autonomy,long-term effects and related assessments of BCI interventions,as well as privacy protection,transparent reporting and ensuring that the research is conducted in qualified institutions with strong data security.Conclusions Ethical governance of clinical research on BCI for mental disorders should include interdisciplinary experts to balance various needs and incorporate the expertise of different stakeholders to avoid serious ethical issues.It requires scientifically grounded approaches,continuous monitoring and interdisciplinary collaboration to ensure evidence-based policies,comprehensive risk assessments and transparency,thereby promoting responsible innovations and protecting patient rights and well-being.展开更多
文摘Artificial intelligence(AI)is increasingly recognized as a transformative force in the field of solid organ transplantation.From enhancing donor-recipient matching to predicting clinical risks and tailoring immunosuppressive therapy,AI has the potential to improve both operational efficiency and patient outcomes.Despite these advancements,the perspectives of transplant professionals-those at the forefront of critical decision-making-remain insufficiently explored.To address this gap,this study utilizes a multi-round electronic Delphi approach to gather and analyses insights from global experts involved in organ transplantation.Participants are invited to complete structured surveys capturing demographic data,professional roles,institutional practices,and prior exposure to AI technologies.The survey also explores perceptions of AI’s potential benefits.Quantitative responses are analyzed using descriptive statistics,while open-ended qualitative responses undergo thematic analysis.Preliminary findings indicate a generally positive outlook on AI’s role in enhancing transplantation processes,particularly in areas such as donor matching and post-operative care.These mixed views reflect both optimism and caution among professionals tasked with integrating new technologies into high-stakes clinical workflows.By capturing a wide range of expert opinions,the findings will inform future policy development,regulatory considerations,and institutional readiness frameworks for the integration of AI into organ transplantation.
文摘目的构建重症创伤伤员体外膜肺氧合(ECMO)转运方案,为重症创伤伤员ECMO转运提供参考。方法基于循证原则检索建库至2024年9月16日ProVation MD、BMJ Best Practice、UpToDate、英国国家卫生与临床优化研究所、国际指南协作网、美国国立指南库、WHO、Embase、Cochrane Library、PubMed、Web of Science、CKNI、中国生物医学数据库、维普数据库、万方数据库、医脉通等网站或数据库形成范围综述并构建重症创伤伤员ECMO转运方案初稿。通过2轮Delphi专家咨询法对18名专家函询,小组讨论后形成重症创伤伤员ECMO转运方案终稿。结果共纳入16篇文献,形成了包含人力分工、注意事项等在内的7项一级条目、20项二级条目、67项三级条目的重症创伤伤员ECMO转运方案。2轮函询的有效回收率均为94.4%,专家的权威系数均为0.94,专家意见的Kendall协调系数分别为0.310和0.489(P均<0.01)。结论本研究基于范围综述和Delphi法构建重症创伤伤员ECMO转运方案,形成了以重症创伤ECMO转运的常用模式、工具载体、人力分工、准备工作、监测、注意事项、交接核查为主题的转运方案,对重症创伤伤员具有较强的针对性与临床应用价值,可以为重症创伤伤员ECMO转运提供参考。
基金funded by the Shanghai Philosophy and Social Science Planning Project (2021BZX008)the National Social Science Foundation of China (23BZX110)the National Office for Philosophy and Social Science (20&ZD045).
文摘Background Clinical brain-computer interface(BCI)for mental disorders is an emerging interdisciplinary research field,posing new ethical concerns and challenges,yet lacking practical ethical governance guidelines for stakeholders and the entire community.Aims This study aims to establish a multidisciplinary consensus of principles for ethical governance of clinical BCI research for mental disorders and offer practical ethical guidance to stakeholders involved.Methods A systematic literature review,symposium and roundtable discussions,and a pre-Delphi(round 0)survey were conducted to form the questionnaire for the three-round modified Delphi study.Two rounds of surveys,followed by a third round of independent interviews of 25 experts from BCI-related research domains,were involved.We conducted quantitative analysis of responses and agreements among experts to reveal the consensus and differences regarding the ethical governance of mental BCI research from a multidisciplinary perspective.Results The Delphi panel emphasised important concerns of ethical review practices and ethical principles within the BCI context,identified qualified and highly influential institutions and personnel in conducting and advancing clinical BCI research,and recognised prioritised aspects in the risk-benefit evaluation.Experts expressed diverse opinions on specific ethical concerns,including concerns about invasive technology,its impact on humanity and potential social consequences.Agreement was reached that the practices of ethical governance of clinical BCI for mental disorders should focus on patient voluntariness,autonomy,long-term effects and related assessments of BCI interventions,as well as privacy protection,transparent reporting and ensuring that the research is conducted in qualified institutions with strong data security.Conclusions Ethical governance of clinical research on BCI for mental disorders should include interdisciplinary experts to balance various needs and incorporate the expertise of different stakeholders to avoid serious ethical issues.It requires scientifically grounded approaches,continuous monitoring and interdisciplinary collaboration to ensure evidence-based policies,comprehensive risk assessments and transparency,thereby promoting responsible innovations and protecting patient rights and well-being.
