ReviewInternational journal of educational technology in higher education2025
Ethical considerations for teaching with artificial intelligence: a scoping review in medical education settings.
Review in International journal of educational technology in higher education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The effectiveness of GAI-assisted teaching methods in medical education: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- Development of AI competencies within the medical curriculum.Frontiers in medicine · 2026Pooled it
- AI-informed healthcare pedagogy: a review of the literature and application to pedagogical practice informed by case studies from dental education.British dental journal · 2026Review
- AI literacy and ethical attitudes toward AI in medical students: evidence from a structural model.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
- Acceptance and use of GenAI among medical and health sciences students in Saudi Arabia: an extended TAM study.BMC medical education · 2026Article
- Artificial Intelligence Integration in U.S. Healthcare Professional Degree Programs: A Rapid Scoping Review.Research square · 2026Article
- The digital transformation of clinical teaching: a review of AI and data-driven quality assurance systems in medical education.Frontiers in public health · 2026Review
- From "teaching by word and deed" to "intelligent mentorship": ethical reconsiderations of AI-enabled medical education - lessons from China.Frontiers in medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
In the evolving realm of medical education, where artificial intelligence (AI) technologies play an increasingly pivotal role, embedding AI ethics within educational frameworks has become crucial. This scoping review explores the breadth of literature concerning ethical considerations for teaching with AI in medical education settings. Following the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for Scoping Reviews (PRISMA-ScR) guidelines, the team analyzed 82 peer-reviewed English-language articles published between 2018 and October 2023, sourced from PubMed, Embase, and Web of Science. The review presents insights into the geographic distribution of studies, publication trends, article types, common keywords, areas of focus, and ethical considerations. Ethical considerations are framed around the core principles of autonomy, beneficence, non-maleficence, justice, and transparency. Emerging themes and notable gaps are identified, offering suggested directions for future research. Review articles were found to be the most common study type, and "artificial intelligence" and "education" were the most frequently recurring keywords in the articles. The articles primarily focused on (a) incorporating AI in medical education, (b) AI ethical principles in medical education, and (c) ChatGPT in healthcare education. Ethical concerns raised in the articles centered on privacy, bias, informed consent, and algorithmic transparency, with many offering implications for curriculum development. These findings underscore the significance of integrating AI tools as instructional aids to enhance medical education, improve student learning experiences, and address the ethical challenges associated with their use in instructional settings. Future research opportunities include refining standardized competencies for AI in medical education, developing evidence-based curricula, and conducting longitudinal studies to assess AI's long-term impact on learning outcomes.
Indexed as
Identifiers
What OpenQuestion holds
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.