临床实践中的人工智能:医疗层次结构中的使用趋势和教育影响
Athanasios Naum1, Robert S Gordon1, Anushka Deogaonkar1
1Division of Gastroenterology and Liver Disease, George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Journal of the National Medical Association
|March 10, 2026
概括
人工智能 (AI) 的使用在医学培训中很常见,但正规教育和信心落后. 与内部医学相比,胃肠道学提供者对人工智能工具的信心和意识较低,这凸显了结构化人工智能培训的必要性.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健技术 技术 医疗保健 技术
- 临床决策支持 临床决策支持
背景情况:
- 人工智能 (AI) 在医疗保健中的整合为临床决策和患者结果提供了潜在的好处.
- 然而,对人工智能采用,信心水平和正规教育的理解在医疗培训水平和专业之间存在很大差异.
研究的目的:
- 评估医疗保健专业人员的AI使用模式,信心和教育暴露.
- 为了比较胃肠病学 (GI) 和内科 (IM) 提供者之间的AI采用和感知.
主要方法:
- 在一个学术医疗中心对医学学生,住院生,研究员和主治医生进行了横截面调查.
- 25项问卷评估了人工智能使用,频率,信心,正规教育,监管意识和对人工智能课程整合的态度.
主要成果:
- 83.5%的受访者使用人工智能,居民和医学学生报告使用率高于主治医生.
- 胃肠道学提供者报告信心较低,没有正式的AI教育,与内部医学提供者形成鲜明对比,他们有更高的结构化培训和监管意识.
- 100%的胃肠道学受访者支持将人工智能教育纳入医学课程.
结论:
- 人工智能采用在医学培训中很普遍,但正规教育,信心和监管意识不足,特别是在胃肠病学等子专业.
- 需要在医疗培训中整合结构化,专业化的AI教育,以确保安全有效的临床AI实施.
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