在人工智能辅助随机对照试验中,医生临床决策修改和偏见评估
Ethan Goh1,2, Bryan Bunning3, Elaine C Khoong4,5,6
1Stanford Biomedical Informatics Research, Stanford University, Stanford, CA, USA. ethangoh@stanford.edu.
Communications medicine
|March 4, 2025
概括
人工智能 (AI) 的帮助提高了医生在胸痛分类中的准确性,而不会恶化人口偏见. 人工智能工具显示出增强临床决策和促进公平医疗保健的前景.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床决策支持系统 临床决策支持系统
背景情况:
- 人们担心人工智能会加剧医疗保健中的人口偏见.
- 这项研究调查了人工智能对胸痛分类中的医生决策的影响.
研究的目的:
- 评估人工智能协助如何影响医生的临床决策和偏见.
- 评估AI对胸痛情景中的诊断准确性和公平性的影响.
主要方法:
- 在50名医生参与的随机化前后干预研究.
- 医生回顾了胸部疼痛记载 (白人男性与黑人女性患者),有或没有GPT-4建议.
- 临床决策准确性是根据基于证据的指导方针进行测量.
主要成果:
- 在人工智能帮助下,医生的准确性得到了改善 (白人男性为47%至65%,黑人女性为63%至80%).
- 人工智能没有引入或加剧人口偏见;两组都显示出类似的准确度增长 (18%).
- 90%的医生预计人工智能在临床决策中将在未来发挥重要作用.
结论:
- 人工智能可以增强医生的决策能力,同时保持公平的护理.
- 人工智能临床决策支持为改善医疗保健提供了一条途径,而不会增加医疗保健差距.
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