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

Journal: Academic medicine : journal of the Association of American Medical Colleges

PMID: 38207056

Abstract

PURPOSE: Given the increasing significance and potential impact of artificial intelligence (AI) technology on health care delivery, there is an increasing demand to integrate AI into medical school curricula. This study aimed to define medical AI competencies and identify the essential competencies for medical graduates in South Korea.

Authors

Young-Mee Lee
Suyoun Kim
Young-Hee Lee

Medical Education Center, College of Medicine, Korea University, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, South Korea.
Hun-Sung Kim

Department of Endocrinology and Metabolism, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Sung Wook Seo

3 Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hwiyoung Kim

Department of Radiological Science, Yonsei University College of Medicine, Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea. Electronic address: HYKIM82@yuhs.ac.
Kwang Joon Kim

Division of Geriatrics, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

Keywords

Adult Artificial Intelligence Clinical Competence Curriculum Delphi Technique Faculty, Medical Female Humans Male Republic of Korea Schools, Medical Students, Medical Surveys and Questionnaires

External Resources

View on PubMed Access via DOI PubMed (38207056)

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

Abstract

Authors

Keywords

External Resources

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