Medical education and physician training in the era of artificial intelligence

Author:

Xu Yueyuan1,Jiang Zehua12,Ting Daniel Shu Wei345,Kow Alfred Wei Chieh6,Bello Fernando7,Car Josip8,Tham Yih-Chung349,Wong Tien Yin123

Affiliation:

1. Tsinghua Medicine, School of Medicine, Tsinghua University, Beijing, China

2. School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Beijing, China

3. Singapore Eye Research Institute, Singapore National Eye Centre, Singapore

4. Eye Academic Clinical Program, Duke-NUS Medical School, Singapore

5. Byers Eye Institute, Stanford University, Palo Alto, CA, USA

6. Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore

7. Technology Enhanced Learning and Innovation Department, Duke-NUS Medical School, National University of Singapore, Singapore

8. Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore

9. Centre for Innovation and Precision Eye Health and Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore

Abstract

Abstract With the rise of generative artificial intelligence (AI) and AI-powered chatbots, the landscape of medicine and healthcare is on the brink of significant transformation. This perspective delves into the prospective influence of AI on medical education, residency training and the continuing education of attending physicians or consultants. We begin by highlighting the constraints of the current education model, challenges in limited faculty, uniformity amidst burgeoning medical knowledge and the limitations in ‘traditional’ linear knowledge acquisition. We introduce ‘AI-assisted’ and ‘AI-integrated’ paradigms for medical education and physician training, targeting a more universal, accessible, high-quality and interconnected educational journey. We differentiate between essential knowledge for all physicians, specialised insights for clinician-scientists and mastery-level proficiency for clinician-computer scientists. With the transformative potential of AI in healthcare and service delivery, it is poised to reshape the pedagogy of medical education and residency training.

Publisher

Medknow

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