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Defining Medical AI Competencies for Medical School Graduates: Outcomes of a Delphi Survey and Medical Student/Educator Questionnaire of South Korean Medical Schools.

Young-Mee LeeSuyoun KimYoung-Hee LeeHun Sung KimSung Wook SeoHwiyoung KimKwang Joon Kim
Published in: Academic medicine : journal of the Association of American Medical Colleges (2024)
This medical AI framework of 6 competencies and their subcompetencies for medical graduates exhibits promising potential for guiding the integration of AI into medical curricula. Further studies conducted in diverse contexts and countries are necessary to validate and confirm the applicability of these findings. Additional research is imperative for developing specific and feasible educational models to integrate these proposed competencies into pre-existing curricula.
Keyphrases
  • healthcare
  • artificial intelligence
  • global health
  • type diabetes
  • public health
  • cross sectional
  • machine learning
  • risk assessment
  • metabolic syndrome
  • skeletal muscle
  • adipose tissue
  • insulin resistance