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评估症状检查器的诊断性能:临床贴图研究
Mohammad Hammoud1, Shahd Douglas1, Mohamad Darmach1
1Avey Inc, Doha, Qatar.
JMIR AI
|June 14, 2024
概括
医疗症状检查器在诊断准确度上有很大差异. 一个由人工智能驱动的工具显示出了希望,在某些指标上表现优于人类医生,突出了人工智能.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 患者越来越多地使用医疗自我诊断工具 (症状检查器).
- 严格评估他们的诊断性能对于安全融入医疗保健至关重要.
研究的目的:
- 评估和报告六个症状检查者的诊断准确性.
- 建立一个透明的方法论,用于健康信息学中可重现的结果.
主要方法:
- 一种使用400个同行评审的临床图片的四个阶段方法.
- 对6名症状检查员的评估和与3名经验丰富的初级保健医生进行比较.
- 使用了7个准确度指标,包括M1,F1得分和正常化折扣累积收益 (NDCG).
主要成果:
- 在六个症状检查者中,诊断准确度 (M1,F1得分,NDCG) 存在显著差异.
- 人类医生表现的性能范围为22.8% (M1),15.3% (F1得分) 和21.3% (NDCG).
- 最好的基于人工智能的症状检查器在M1 (10.2%) 和NDCG (25.1%) 的指标中表现优于医生.
结论:
- 症状检查器的表现差异很大;他们不能被认为是一个单一的群体.
- 基于人工智能的症状检查器显示出改善诊断能力的巨大潜力.
- 人工智能的指数式进步表明,这些工具在医疗保健中的未来充满希望.
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