AI in medical training: how smarter learning creates safer doctors

Abdul Ghani, Azril Shahreez (2025) AI in medical training: how smarter learning creates safer doctors. Majalah SciTech. E-ISSN 2990-9406

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Abstract

In 2023, a global report estimated that the body of medical knowledge now doubles every 73 days. For medical students, this rapid expansion can feel overwhelming. They are expected not only to keep up with new discoveries but also to develop the sharp decision-making skills required of future doctors (Ananthakrishnan, 2020).To cope, medical schools have long used strategies like spaced learning and active recall, which help students remember information for longer and perform better in exams (Chugh & Tripathi, 2020; Csaba et al., 2025). But medicine is about much more than memorising facts. Doctors also need to make the right calls under pressure, sometimes relying on quick instincts and other times slowing down to carefully weigh the evidence. That balance is hard to teach in a classroom. On top of that, healthcare is rarely a solo effort. Future doctors must also learn how to think and communicate effectively as part of a team, a skill traditional lectures often struggle to develop. Yet even with these proven methods, the challenge of information overload persists. This is where digital innovations, especially artificial intelligence (AI), are beginning to step in. AI tools are helping students manage knowledge more efficiently, practise decision-making in realistic simulations, and even receive timely feedback to support their learning (Chen & Nagendran, 2024). At the same time, addressing stress and burnout remains critical, since emotional wellbeing directly affects a student’s ability to learn and make sound judgments (Molodynski et al., 2024). Together, these challenges and opportunities show why integrating AI into medical education is no longer optional. AI offers not just a way to handle the knowledge explosion, but also a pathway to smarter, safer, and more supportive training for the next generation of doctors.

Item Type:	Article (Magazine)
Additional Information:	7003/123347
Uncontrolled Keywords:	Artificial Intelligence in Medical Education, Virtual Patients and Simulation Training, Adaptive or Personalized Learning, Medical Knowledge Explosion, Future Doctors and Digital Healthcare
Subjects:	R Medicine > R Medicine (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Medicine Kulliyyah of Medicine > Department of Basic Medical
Depositing User:	Dr Azril Shahreez Abdul Ghani
Date Deposited:	29 Sep 2025 12:14
Last Modified:	29 Sep 2025 12:17
URI:	http://irep.iium.edu.my/id/eprint/123347

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