How artificial intelligence (AI) could have helped our medical education during the COVID-19 pandemic – A student’s perspective
Abstract
Dear EditorWe recently read with interest the article by Masters (2019) on the role of AI in medical education. In this letter, we comment on how we think AI could have helped in our individualised...
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Contributions elaborated mainly or solely by medical students strongly call for the inclusion of AI education in medical curricula; students were enthusiastic about learning AI and recognized its crucial role in the future of medicine, but reported a lack of formal AI training and insufficient AI-related learning opportunities; researchers and educators also demanded inclusion of AI in medical Cur
“Finally, contributions elaborated mainly or solely by medical students strongly call for the inclusion of AI education in medical curricula [50–54]. Students were enthusiastic about learning AI and recognized its crucial role in the future of medicine [45, 55]. However, they reported a lack of formal AI training and insufficient AI-related learning opportunities in their medical education [46, 56,”
From Artificial intelligence in undergraduate medical education: an updated scoping review (2025) · cites this paper as [52]
AI can potentially aid in diagnosing, prescribing, and managing patient care.
“While AI can potentially aid in diagnosing, prescribing, and managing patient care, its full benefits will be realized if future physicians are equipped with theoretical and practical competencies [13–15].”
The full benefits of AI in patient care will be realized only if future physicians are equipped with theoretical and practical competencies.
“While AI can potentially aid in diagnosing, prescribing, and managing patient care, its full benefits will be realized if future physicians are equipped with theoretical and practical competencies [13–15].”
Involving students in discussions provides valuable input into the development process, helping to tailor AI applications to meet their needs and preferences.
“Involving students in these discussions provides valuable input into the development process, helping to tailor AI applications to meet their needs and preferences [31].”
From Twelve tips for addressing ethical concerns in the implementation of artificial intelligence in medical education (2024) · cites this paper as [31]
Cites
Artificial intelligence in medical education
Masters, K. (2019) · Medical Teacher · doi:10.1080/0142159x.2019.1595557 · Cited by 469 · see citing works
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Franco D’Souza, R., Mathew, M., Mishra, V., & Surapaneni, K. M. (2024) · Medical Education Online · doi:10.1080/10872981.2024.2330250 · Cited by 147 · see citing works
Artificial intelligence in undergraduate medical education: an updated scoping review
Simoni, J., Urtubia-Fernandez, J., Mengual, E., Simoni, D. A., Royo, M., Egaña-Yin, D., Hertog, O. L. A., López-Ortiz, L., Muñoz-Tomás, A., Santiago-Martínez, P., et al. (2025) · BMC Medical Education · doi:10.1186/s12909-025-08188-2 · Cited by 62 · see citing works
Mastour, H., Mirzaei, S., Sohrabi, S., & Toofaninejad, E. (2026) · BMC Medical Education · doi:10.1186/s12909-026-09630-9 · Cited by 3 · see citing works
“While AI can potentially aid in diagnosing, prescribing, and managing patient care, its full benefits will be realized if future physicians are equipped with theoretical and practical competencies [13–15].”
- Authors
- Abhee, S. S., & Phillips, R.
- Affiliations
- King's College London (GB)
- University of Cambridge (GB)
- Corresponding author
- Abhee, Stasha Sonia
- Venue
- Medical Teacher
- Publisher
- Informa UK Limited
- Published
- 2020-08-05
- Volume
- 42
- Issue
- 11
- Pages
- 1315-1316
- ISSN
- 0142-159X (ISSN-L)
- 1466-187X
- OpenAlex
- W3047064901
- Cited by
- 4
- References
- 1
- Citations by year
- 2025: 1 · 2024: 2 · 2021: 1
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medical Teacher (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Keywords
- artificial intelligence, medical education, COVID-19 pandemic, individualised learning, student perceptions, online learning
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Artificial Intelligence, Education, Medical, Humans, Pneumonia, Viral, Students, Coronavirus Infections, Pandemics
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