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Medical education and physician training in the era of artificial intelligence.
Xu, Yueyuan; Jiang, Zehua; Ting, Daniel Shu Wei; Kow, Alfred Wei Chieh; Bello, Fernando; Car, Josip; Tham, Yih-Chung; Wong, Tien Yin.
Afiliação
  • Xu Y; Tsinghua Medicine, School of Medicine, Tsinghua University, Beijing, China.
  • Jiang Z; Tsinghua Medicine, School of Medicine, Tsinghua University, Beijing, China.
  • Ting DSW; School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Beijing, China.
  • Kow AWC; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Bello F; Eye Academic Clinical Program, Duke-NUS Medical School, Singapore.
  • Car J; Byers Eye Institute, Stanford University, Palo Alto, CA, USA.
  • Tham YC; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • Wong TY; Technology Enhanced Learning and Innovation Department, Duke-NUS Medical School, National University of Singapore, Singapore.
Singapore Med J ; 65(3): 159-166, 2024 Mar 01.
Article em En | MEDLINE | ID: mdl-38527300
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Médicos / Educação Médica Limite: Humans Idioma: En Revista: Singapore Med J Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Médicos / Educação Médica Limite: Humans Idioma: En Revista: Singapore Med J Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China