زیرشاخه پژوهشیاخلاق پزشکی
مقالهها، منابع و پژوهشهای تازه حوزه اخلاق پزشکی
جستوجوی چندمنبعی
PubMedدسترسی آزاد2026
BMJ openTayyibe Bardakçı, Maide Barış, Hossein Dabbagh, Julian Savulescu, Merve Saraçoğlu, Mohammad Sharif Razai
INTRODUCTION: The rapid integration of artificial intelligence (AI) technologies in healthcare, ranging from diagnostic tools to clinical decision support systems, is transforming medical practice and education. However, without deliberate integration of ethics, there is a risk that medical education will reproduce a technosolutionist orientation by privileging efficiency and data-driven outputs over patient autonomy, justice and professional integrity. While AI-related courses are increasingly being introduced into medical curricula, ethical considerations often remain peripheral, with most frameworks emphasising technical skills over moral reasoning. As future clinicians will face complex ethical challenges related to autonomy, safety, bias, transparency and accountability in AI-integrated clinical settings, there is an urgent need to evaluate how ethics is incorporated into AI education. With AI curricula still in their formative stages, this moment presents a critical opportunity to proactively design ethical components, rather than introducing them after harms have emerged. This scoping review aims to systematically map the ethical-technical balance in AI-related medical education curricula, identifying current practices, gaps and opportunities for curriculum development. METHODS AND ANALYSIS: This scoping review will follow the Joanna Briggs Institute methodology and be reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. The review will address how ethical considerations are integrated into AI-related curricula in medical education and examine the balance between ethical and technical content. A comprehensive search strategy will be employed across multiple databases, including MEDLINE, Web of Science, Google Scholar, EBSCO, the Virtual Health Library, the Bioethics Literature Database and PhilPapers, as well as grey literature sources such as institutional reports, curricula and policy documents. Publications from January 2020 to December 2025 will be included. Data will be charted and analysed using descriptive qualitative content analysis, followed by a theory-informed interpretive analysis drawing on the hidden curriculum theory of medical education. ETHICS AND DISSEMINATION: This review does not require ethics approval, as it involves analysis of publicly available data. Findings will be disseminated through a peer-reviewed publication and presented at relevant conferences and workshops focused on medical education or bioethics.
PubMed2026
Current medical research and opinionDörthe Brüggmann, Doris Klingelhöfer
OBJECTIVE: Medical Ethics integrates scientific approaches from ethics, philosophy, religious studies, history, and sociology into all relevant fields and subdisciplines of medicine, biomedicine, and healthcare. However, there is a lack of detailed analysis of research activity and networking of peer-reviewed research in Medical Ethics. METHODS: Consequently, this study employs established bibliometric methods to examine the chronological, geographical, and thematic patterns of global research, as well as network structures, by analyzing metadata retrieved from the Web of Science. RESULTS: The analysis identified a total of 11,663 articles published in journals in the field of Medical Ethics. The number of articles peaked slightly in 2015 but remained more or less constant otherwise. From a global perspective, the USA was the dominant country in absolute numbers, followed by China and Japan. By contrast, the European countries Sweden, Austria, and Norway were positioned first when the research activity was related to the population size. Large parts of Africa, South Asia, and South America/Caribbean are virtually not present in the global landscape of Medical Ethics research, although these areas offer many open questions. Although a far-reaching, global network has been established, networking primarily takes place among English-speaking countries such as the USA, the UK, Canada, and Australia, while developing countries in particular are underrepresented. CONCLUSIONS: The growth in publication numbers is not as steep as in other fields and is imbalanced from a global viewpoint. Therefore, countries with weaker economies should be systematically encouraged to participate in international research collaborations.
PubMedدسترسی آزاد2026
MedEdPORTAL : the journal of teaching and learning resourcesDanielle M Fernandes, Talya Lisker, Shitij Arora, Aaron Hui, Adira Hulkower, Sunit Jariwala, Janice Thomas John
INTRODUCTION: As artificial intelligence (AI) is integrated into health care, it is critical for physicians to understand the ethical foundations of its use in medicine so that they can provide just care to patients and use AI technology to effectively support clinical care. This novel ethics session was designed to provide students with the opportunity to discuss ethical principles related to the use of AI in medicine. METHODS: We designed a case-based small-group session for preclerkship medical students as part of their required bioethics course. Interdisciplinary bioethics faculty facilitated this session. After the session, participants completed a retrospective pre-post survey with questions on a 5-point Likert scale and open-ended questions. RESULTS: One hundred seventy students attended the session, and 94 completed the survey (response rate 55%). Students reported a stronger understanding of the ethical issues surrounding AI use in medicine following the session. Content analysis of narrative responses showed that students valued the opportunity to discuss AI ethics with peers and facilitators. DISCUSSION: Students valued this innovative session and recommended it be repeated in future years. Data from this session demonstrate a self-reported improvement in understanding of core bioethics concepts related to AI use in medicine. This case-based small-group session offers a timely and effective approach for integrating core domains of AI ethics-bias and inequity, data privacy and patient autonomy, and potential harms of AI-into the undergraduate medical school education curriculum, providing students with a foundational understanding as they prepare to use AI throughout their careers.
PubMedدسترسی آزاد2026
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science editionHui Liang, Lei Wang
This article focuses on the legal transformation of medical ethics in China during the new era of socialism with Chinese characteristics, since the 18th National Congress of the Communist Party of China. By employing diachronic review and normative analysis, it systematically presents the internal logic and practical pathways of the field's evolution from fragmented self-regulation to integrated governance. Academically, the discipline has advanced through four stages: theoretical foundation and foreign introduction, practical shift and institutional exploration, critical reflection and systemic optimization, and legal-led, full-coverage advancement. Legally, a refined regulatory system has been established, centered on national laws and supported by specialized review regulations. In governance, a transition from passive response to proactive shaping has been achieved, with ethical review expanding across all domains of life science research, and procedural management and accountability fully incorporated into the rule of law. Looking ahead, it is essential to balance institutional rigidity with practical flexibility, contribute ethical wisdom to the Healthy China initiative, and offer a Chinese solution to global science and technology ethics governance.