Artificial Intelligence and Family Medicine

人工智能 计算机科学 心理学
作者
Dean A. Seehusen,Marjorie A. Bowman,Jacqueline Britz,Christy J. W. Ledford
出处
期刊:Journal of the American Board of Family Medicine [American Board of Family Medicine]
卷期号:37 (4): 517-519
标识
DOI:10.3122/jabfm.2024.240233r0
摘要

Artificial intelligence (AI) is certainly going to have a large, potentially huge, impact on the practice of family medicine. The specialty is fortunate to have leading experts in the field to guide us along the way. One such team of forward thinkers provides insights into where AI can take the specialty. Another article reports on how well AI performed on the American Board of Family Medicine In-Training Examination. In addition to AI, we have 3 articles that investigate the intersection of social needs and the practice of medicine. Four clinical review articles cover nonalcoholic fatty liver disease, headache treatments, single maintenance and reliever therapy for asthma, and the use of cannabis in the setting of chronic pain. The clinical research articles cover point-of-care hemoglobin A1c testing, continuous glucose monitoring, and screening for HIV. Another group of articles examines the profession of family medicine, covering topics ranging from how women family physicians negotiate their first jobs to the words we use to define primary care.
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