Partha Dasgupta, Simon Levin
Economic factors underlying biodiversity loss
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
given increasing significance potential impact artificial intelligence ai technology health care delivery increasing demand integrate ai medical school curricula study aimed define medical ai competencies identify essential competencies medical graduates south korea initial delphi survey conducted 2022 involving 4 groups medical ai experts n 28 yielded 42 competency items subsequently online questionnaire survey carried 1955 participants 1174 students 781 professors medical schools across south korea utilizing list 42 competencies developed first delphi round subsequent delphi survey conducted 33 medical educators 21 medical schools differentiate essential ai competencies optional ones study identified 6 domains encompassing 36 ai competencies essential medical graduates 1 understanding digital health changes driven ai 2 fundamental knowledge skills medical ai 3 ethics legal aspects use medical ai 4 medical ai application clinical practice 5 processing analyzing evaluating medical data 6 research development medical ai well subcompetencies within domain numerous competencies within first 4 domains deemed essential higher percentage experts indicated responses last 2 domains data science medical ai research development optional medical ai framework 6 competencies subcompetencies medical graduates exhibits promising potential guiding integration ai medical curricula studies conducted diverse contexts countries necessary validate confirm applicability findings additional research imperative developing specific feasible educational models integrate proposed competencies preexisting curricula