Artificial intelligence in medical education: a cross-sectional needs assessment

作者：Murat Civaner, Yeşim Uncu, Filiz BULUT, Esra Giounous Chalil, Abdülhamit Tatli · 发表于：BMC Medical Education · 年份：2022 · DOI：10.1186/s12909-022-03852-3 · 被引用次数：374 · 研究领域：Artificial Intelligence in Healthcare and Education、Mobile Health and mHealth Applications、Electronic Health Records Systems

BACKGROUND: As the information age wanes, enabling the prevalence of the artificial intelligence age; expectations, responsibilities, and job definitions need to be redefined for those who provide services in healthcare. This study examined the perceptions of future physicians on the possible influences of artificial intelligence on medicine, and to determine the needs that might be helpful for curriculum restructuring. METHODS: A cross-sectional multi-centre study was conducted among medical students country-wide, where 3018 medical students participated. The instrument of the study was an online survey that was designed and distributed via a web-based service. RESULTS: Most of the medical students perceived artificial intelligence as an assistive technology that could facilitate physicians' access to information (85.8%) and patients to healthcare (76.7%), and reduce errors (70.5%). However, half of the participants were worried about the possible reduction in the services of physicians, which could lead to unemployment (44.9%). Furthermore, it was agreed that using artificial intelligence in medicine could devalue the medical profession (58.6%), damage trust (45.5%), and negatively affect patient-physician relationships (42.7%). Moreover, nearly half of the participants affirmed that they could protect their professional confidentiality when using artificial intelligence applications (44.7%); whereas, 16.1% argued that artificial intelligence in medicine might cause violati...