人工智能在虚拟初级保健中的诊断准确性
Dan Zeltzer1, Lee Herzog2, Yishai Pickman2
1Berglas School of Economics, Tel Aviv University, Tel Aviv, Israel.
Mayo Clinic proceedings. Digital health
|April 10, 2025
概括
人工智能 (AI) 在初级保健中显示出高的诊断准确性,在大多数情况下与提供者达成一致. 这项技术有可能改善疾病诊断和患者分拣,通过再培训提高绩效.
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 临床决策支持
背景情况:
- 初级保健在及时和准确的疾病诊断方面面临挑战.
- 人工智能 (AI) 为增强临床决策提供了潜在的解决方案.
研究的目的:
- 在初级保健环境中评估人工智能生成的临床诊断的诊断准确性.
- 评估人工智能诊断和人类医疗保健提供者之间的协议.
主要方法:
- 对102,059个虚拟初级保健接触的回顾性图表审查.
- 对人工智能产生的差异诊断与提供者最终诊断和评判者共识的分析.
- 在各种诊断,症状,人口统计和提供者经验水平上对AI诊断协议的评估.
主要成果:
- 在84.2%的病例中,提供者同意AI诊断,而在60.9%的病例中,最高排名的AI诊断.
- 对于69%的诊断和50%的呈现症状,观察到高一致性 (≥90%).
- 人工智能诊断准确度在患者人口统计和提供者经验中显示出最小的变化,随着再培训而改善.
结论:
- 人工智能在虚拟初级保健环境中与提供者达成高度的诊断协议.
- 人工智能有可能提高初级保健疾病诊断和患者分拣.
- 持续的模型再培训可以进一步提高AI诊断性能随着时间的推移.
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