人工智能不会拯救我们...然而:重新想象人工智能的潜力,优先考虑人类
Lekshmi Santhosh1, Leah J Witt1,2
1Division of Pulmonary, Critical Care, Allergy & Sleep Medicine, University of California, San Francisco, San Francisco, CA.
ATS scholar
|February 21, 2026
概括
人工智能 (AI) 对医疗保健任务有希望,但未能解决医学教育和美国医疗保健系统的系统性问题. 真正的转型需要人工智能专注于以人为中心的挑战和公平.
科学领域:
- 医疗保健创新 医疗保健创新
- 医学教育技术技术 医学教育技术
- 人工智能应用的人工智能应用.
背景情况:
- 人工智能 (AI) 经常被推广为解决管理负担和诊断准确性等医疗保健挑战的解决方案.
- 然而,当前的人工智能应用往往忽视了美国医疗保健系统和医学教育中的更深层次的系统问题.
研究的目的:
- 批判性地评估人工智能在解决医疗保健和医学教育中的基本问题方面的局限性.
- 确定人工智能不足的关键领域,特别是在以人为本的方面.
主要方法:
- 对医疗保健和医学教育当前的人工智能趋势的定性分析.
- 确定了人工智能的影响不足或可能有害的五个关键领域.
主要成果:
- 人工智能与系统性医疗保健功能障碍,健康公平,医生工作量,医疗教育和劳动力危机作斗争.
- 目前的人工智能发展轨迹可能会加剧现有的问题,而不是解决它们.
结论:
- 仅靠人工智能,就无法解决美国的医疗保健系统或医学教育问题,而不需要解决系统性缺陷.
- 转型变革需要人工智能与临床专家和患者一起开发,专注于公平和劳动力可持续性.
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