ArticlePerspectives on medical education2023
Teaching AI Ethics in Medical Education: A Scoping Review of Current Literature and Practices.
Article in Perspectives on medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 3 of them syntheses that pooled it.
What it found
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Who cites it
63 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The impact of generative artificial intelligence tools on assessment equity for non-native English-speaking medical students: a systematic review.BMC medical education · 2026Pooled it
- Advancements in artificial intelligence transforming medical education: a comprehensive overview.Medical education online · 2025Pooled it
- Large language models for generating medical examinations: systematic review.BMC medical education · 2024Pooled it
- Application of artificial intelligence in early warning, diagnosis and precise treatment of head and neck tumors (Review).Molecular and clinical oncology · 2026Review
- From principle to practice: Developing a digital-age clinical artificial intelligence ethics competence framework through early-career doctors' experiences.Medical education · 2026Article
- AI literacy and ethical attitudes toward AI in medical students: evidence from a structural model.BMC medical education · 2026Article
- Piloting an AI Introduction Program for Incoming Medical Students: A Novel Approach to Medical Education.Medical science educator · 2026Article
- Improving Resident Knowledge of Artificial Intelligence Ethics and Prompting for Clinical Use.The clinical teacher · 2026Article
- Determinants of medical students' attitudes toward artificial intelligence: a cross-sectional study and implications for medical education.BMC medical education · 2026Article
- Teaching AI ethics in medical schools: a scoping review protocol on the ethical-technical balance in curricular frameworks.BMJ open · 2026Article
- A Student-Centered Approach Towards Implementing Large Language Models (LLMs) in Medical Education.Medical science educator · 2026Article
- Comments on "The Utility of ChatGPT for Medical Students on Plastic and Reconstructive Surgery Rotations".Aesthetic plastic surgery · 2026Article
- How to Teach Generative Artificial Intelligence in Undergraduate Medical Education.The clinical teacher · 2026Article
- Generative AI's Impact on the Mental Health of Medical Students: Scenario Analysis.JMIR medical education · 2026Article
- Construction of an assessment scale on STEM education for the current status of medical students in China: A cross-sectional study.Medicine · 2026Article
- Prospective Evaluation of Large Language Model Integration Into a Classical Hematology Case Conference.JMIR formative research · 2026Article
- Review
- Framework for AI integration into the undergraduate medical curricula: a scoping review.BMC medical education · 2026Article
- Harnessing artificial intelligence for the assessment of liver fibrosis and steatosisWorld journal of gastroenterology · 2026Review
- Cognitive status of nursing postgraduates toward Generative Artificial Intelligence: a qualitative study based on the UTAUT framework.BMC nursing · 2026Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The increasing use of Artificial Intelligence (AI) in medicine has raised ethical concerns, such as patient autonomy, bias, and transparency. Recent studies suggest a need for teaching AI ethics as part of medical curricula. This scoping review aimed to represent and synthesize the literature on teaching AI ethics as part of medical education. Methods: The PRISMA-SCR guidelines and JBI methodology guided a literature search in four databases (PubMed, Embase, Scopus, and Web of Science) for the past 22 years (2000-2022). To account for the release of AI-based chat applications, such as ChatGPT, the literature search was updated to include publications until the end of June 2023. Results: 1384 publications were originally identified and, after screening titles and abstracts, the full text of 87 publications was assessed. Following the assessment of the full text, 10 publications were included for further analysis. The updated literature search identified two additional relevant publications from 2023 were identified and included in the analysis. All 12 publications recommended teaching AI ethics in medical curricula due to the potential implications of AI in medicine. Anticipated ethical challenges such as bias were identified as the recommended basis for teaching content in addition to basic principles of medical ethics. Case-based teaching using real-world examples in interactive seminars and small groups was recommended as a teaching modality. Conclusion: This scoping review reveals a scarcity of literature on teaching AI ethics in medical education, with most of the available literature being recent and theoretical. These findings emphasize the importance of more empirical studies and foundational definitions of AI ethics to guide the development of teaching content and modalities. Recognizing AI's significant impact of AI on medicine, additional research on the teaching of AI ethics in medical education is needed to best prepare medical students for future ethical challenges.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.