The DOI matches its OpenAlex record; 15 of the 15 references it cites were found in a registry or an index.
Application of artificial intelligence in medical education: current scenario and future perspectives
Open accessAbstract
Introduction: Medical education is a lifetime learning process stretching from undergraduate to postgraduate, specialty training, and beyond. It also applies to various healthcare professionals, including doctors, nurses, and other allied healthcare professionals. Therefore, it is essential to acknowledge the immense role of artificial intelligence in medical education in the current era of rapidly growing technology. Methods: High-quality data that met the study objectives were included. In addition, comprehensive investigations on articles available in reputable databases such as PubMed, Research Gate, PubMed central, Web of Science, and Google Scholar were considered for literature review. Results: Artificial intelligence has fixed various issues in education during the last decade, including language processing, reasoning, planning, and cognitive modelling. Conclusion: It can be used in medical education in the following forms: Virtual Inquiry System, Medical Distance Learning and Management, and Recording teaching videos in medical schools. It can also enhance the value of the non-analytical humanistic aspects of medicine. The goal of this review article was to present the implications of AI in medical education, now and in the coming years.
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“Many countries have started implementing a 'dual approval system' for continuing medical education. This has enabled a multi-fold rise in certified professionals [45].”
From Artificial Intelligence Revolutionizing the Field of Medical Education (2023) · cites this paper as [45]
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Cites
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Artificial Intelligence Revolutionizing the Field of Medical Education
Narayanan, S., Ramakrishnan, R., Durairaj, E., & Das, A. (2023) · Cureus · doi:10.7759/cureus.49604 · Cited by 164
Medical students’ attitudes toward AI in education: perception, effectiveness, and its credibility
Sami, A., Tanveer, F., Sajwani, K., Kiran, N., Javed, M. A., Ozsahin, D. U., Muhammad, K., & Waheed, Y. (2025) · BMC Medical Education · doi:10.1186/s12909-025-06704-y · Cited by 183
Ahsan, Z. (2025) · BMC Medical Education · doi:10.1186/s12909-025-07744-0 · Cited by 123
Sridharan, K., & Sequeira, R. P. (2024) · BMC Medical Education · doi:10.1186/s12909-024-05365-7 · Cited by 114
Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine
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Metadata
- Authors
- Mir, M. M.
- Venue
- PubMed
- Publisher
- National Institutes of Health
- Published
- 2023-07-01
- Volume
- 11
- Issue
- 3
- Pages
- 133-140
- PMC
- PMC10352669
- OpenAlex
- W4384819645
- Cited by
- 165
- References
- 14
- Citations by year
- 2026: 27 · 2025: 81 · 2024: 49 · 2023: 8
- FWCI
- 6.57
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- cc-by-nd
- Locations
- PubMed Central (publishedVersion, cc-by-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- University of Bisha
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Education › Artificial Intelligence in Education
- Social Sciences › Education › Innovations in Medical Education
- Keywords
- artificial intelligence, medical education, distance education, humanistic medicine, language processing, cognitive modeling
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