ArticleCureus2023
Integrating ChatGPT in Medical Education: Adapting Curricula to Cultivate Competent Physicians for the AI Era.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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
31 citing papers in PubMed, 48 citations in OpenAlex.
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- Enhancing Knowledge Integration and Self-Directed Learning in Undergraduate Medical Education Through an AI-Based Multimodal Platform.Advances in medical education and practice · 2026Article
- Refining AI perspectives: assessing the impact of ai curricular on medical students' attitudes towards artificial intelligence.BMC medical education · 2025Article
- Review
- Is AI the future of evaluation in medical education?? AI vs. human evaluation in objective structured clinical examination.BMC medical education · 2025Article
- Exploring the influence of artificial intelligence integration on personalized learning: a cross-sectional study of undergraduate medical students in the United Kingdom.BMC medical education · 2025Article
- Perceptions and Earliest Experiences of Medical Students and Faculty With ChatGPT in Medical Education: Qualitative Study.JMIR medical education · 2025Article
- Article
- ChatGPT and Other Large Language Models in Medical Education - Scoping Literature Review.Medical science educator · 2025Review
- Review
- Quantum leap in medical mentorship: exploring ChatGPT's transition from textbooks to terabytes.Frontiers in medicine · 2025Review
- Application and exploration of interprofessional education in the teaching of plastic and reconstructive surgery: a narrative review.BMC medical education · 2024Review
- Article
- Integrating artificial intelligence in renal cell carcinoma: evaluating ChatGPT's performance in educating patients and trainees.Translational cancer research · 2024Article
- Efficacy of large language models and their potential in Obstetrics and Gynecology education.Obstetrics & gynecology science · 2024Article
- AI in medical education: the moderating role of the chilling effect and STARA awareness.BMC medical education · 2024Article
- ChatGPT-4 Generates More Accurate and Complete Responses to Common Patient Questions About Anterior Cruciate Ligament Reconstruction Than Google's Search Engine.Arthroscopy, sports medicine, and rehabilitation · 2024Article
- Article
- Art or Artifact: Evaluating the Accuracy, Appeal, and Educational Value of AI-Generated Imagery in DALL·E 3 for Illustrating Congenital Heart Diseases.Journal of medical systems · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid advancements in artificial intelligence (AI) language models, particularly ChatGPT (OpenAI, San Francisco, California, United States), necessitate the adaptation of medical education curricula to cultivate competent physicians in the AI era. In this editorial, we discuss short-term solutions and long-term adaptations for integrating ChatGPT into medical education. We recommend promoting digital literacy, developing critical thinking skills, and emphasizing evidence-based relevance as quick fixes. Long-term adaptations include focusing on the human factor, interprofessional collaboration, continuous professional development, and research and evaluation. By implementing these changes, medical educators can optimize medical education for the AI era, ensuring students are well prepared for a technologically advanced future in healthcare.
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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.