Artificial Intelligence in Medical Education: Balancing Emerging Opportunities with Real-World Limitations
The integration of Artificial Intelligence into medical education is a newly emerging and promising strategy that transforms the outlook of the learning process. This continuously evolving technology influences various aspects of medical education, including curriculum design, learning, and assessment. This editorial will discuss how AI is reshaping all aspects of medical education, highlighting challenges and issues, including bias, data governance, and excessive dependence on technology that may be encountered.
Authors
- Ali Kubba (ORCID: https://orcid.org/0000-0001-8693-9964)
- Laith Thamer Al-Ameri (ORCID: https://orcid.org/0000-0002-5863-1564)
- Ekhlas Khalid Hameed (ORCID: https://orcid.org/0000-0002-0068-3329)
- Aethele Khunda (ORCID: https://orcid.org/0000-0003-4574-9675)
Institutions
- St Thomas' Hospital (GB)
- University of Baghdad (IQ)
- South Tees Hospitals NHS Foundation Trust (GB)
Publication Details
- Journal
- AL-Kindy College Medical Journal
- Published
- 2025-12-01
- DOI
- https://doi.org/10.47723/tsa6a061
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00