The DOI matches its Crossref record; 0 of the 3 references it cites were found in a registry or an index.
Three Effective, Efficient, and Easily Implementable Ways to Integrate A.I. Into Medical Education
Open accessAbstract
As a medical school CEO who is following the development of A.I. very closely, I believe that med students are eager to adopt the possibilities that A.I. tools can deliver in their training. Not only do these students already use variations of A.I. in other areas of their lives, but they also embrace advanced technology and understand how to use it. With the tech readiness of today's students in mind, I have devised three recommendations for how to best infuse A.I. into medical education. This strategic guidance can deliver significant benefits to today's tech-fluent medical school students and enhance their training in their journeys to become doctors.
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“Numerous articles (5%) provide guidelines and “tips” on AI in medical education [57, 83, 94, 135, 136, 162, 179, 186, 195, 196, 202, 205–210].”
From Artificial intelligence in undergraduate medical education: an updated scoping review (2025) · cites this paper as [162]
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New Gen Z graduates are fluent in AI and ready to join the workforce. (2023). Accessed. June 28, 2023: https://www.washingtonpost.com/technology/2023/06/28/ai-gen-z-work/.
(n.d.)
UnresolvedHow medical schools are missing the mark on artificial intelligence. (2023). Accessed. January 12, 2023: https://www.statnews.com/2023/01/12/medical-school-artificial-intelligence-health-curriculum/.
(n.d.)
UnresolvedGarbage in, garbage out (GIGO). (2023). Accessed. June 1, 2023: https://www.techtarget.com/searchsoftwarequality/definition/garbage-in-garbage-out#:~:text=The%20first%20recorded%20u....
(n.d.)
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Xu, X., Chen, Y., & Miao, J. (2024) · Journal of Educational Evaluation for Health Professions · doi:10.3352/jeehp.2024.21.6 · Cited by 169
“…emphasized that teachers should instruct students on how to use ChatGPT, including informing them of the limitations and advantages of AI, guiding them on how to discern the feasibility, authenticity, and accuracy of information provided by AI, and adhering to ethical and moral standards [47,48].”
BackgroundArtificial 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
“%) provide guidelines and “tips” on AI in medical education [57, 83, 94, 135, 136, 162, 179, 186, 195, 196, 202, 205–210].”
Artificial intelligence in medical problem-based learning: opportunities and challenges
Chen, Y., Qi, H. Y., Qiu, Y. L., Li, J., Zhu, L. W., Gao, X., Wang, H., & Jiang, G. (2024) · Global Medical Education · doi:10.1515/gme-2024-0015 · Cited by 4
He, Y., Chen, C., Yin, R., Zhang, W., Chang, H., Yang, W., Li, F., Li, X., Xia, Z., Xie, X., et al. (2026) · JMIR Medical Education · doi:10.2196/92486
“In contrast, students with higher baseline proficiency have already mastered the theoretical principles of history-taking and possess the cognitive capacity to thoroughly interpret AI-generated feedback [44,45].”
Simoni, J., Pereira, J. L., Sánchez, S. C., Egaña-Yin, D., García-Gargallo, C., Hertog, O. L. A., Idoate, A., López-Ortiz, L., Morales-Gutiérrez, I., Romero, A., et al. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1918847
Metadata
- Authors
- Lenihan, D.
- Affiliations
- Ponce Health Sciences University (PR)
- Corresponding author
- Lenihan, David
- Venue
- Cureus
- Published
- 2023-10-17
- Volume
- 15
- Issue
- 10
- Pages
- e47204-e47204
- ISSN
- 2168-8184 (ISSN-L)
- PMC
- PMC10581027
- OpenAlex
- W4387706149
- Cited by
- 5
- References
- 3
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 2
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Cureus (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Education › Innovations in Medical Education
- Social Sciences › Education › Artificial Intelligence in Education
- Keywords
- artificial intelligence, medical education, AI integration strategies, medical students, technology readiness, medical school leadership
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