基于人工智能 (AI) 的平台的多中心验证,用于诊断急性尾炎
Waleed M Ghareeb1, Eman Draz2, Xianqiang Chen3
1Gastrointestinal Surgery Unit, Department of Surgery, Faculty of Medicine, Suez Canal University Hospital, Ismailia, Egypt; Laboratory of Applied Artificial Intelligence in Medical Disciplines, Department of Surgery, Faculty of Medicine, Suez Canal University Hospital, Ismailia, Egypt.
Surgery
|June 23, 2024
概括
一个用于诊断急性尾炎的人工智能平台显示出高精度,可能有助于临床决策,特别是当CT扫描无法使用时. 这种人工智能工具为诊断尾炎提供了可靠的替代方案.
科学领域:
- 医疗成像医学成像
- 人工智能在医学中的应用
- 诊断的准确性 诊断的准确性
背景情况:
- 目前急性尾炎的诊断方法有局限性,包括诊断的"灰色"区域.
- 计算机断层扫描 (CT) 扫描虽然有用,但由于辐射暴露和资源限制,它存在局限性.
- 需要准确的诊断工具来防止不必要的尾切除术.
研究的目的:
- 评估人工智能 (AI) 平台对急性尾炎的诊断准确性和临床实用性.
- 将AI平台的性能与CT扫描进行比较.
主要方法:
- 国际,多中心,回顾性队列研究.
- 用灵敏度,特异性,负预测值,曲线下的面积 (AUC),精度,F1得分和马修斯相关系数 (MCC) 来评估诊断准确性.
- 使用校准曲线,决策曲线分析和临床影响曲线分析评估的临床效用.
主要成果:
- 在真实数据集上,人工智能平台表现出高性能,灵敏度为92.2%,特异性为97.2%,负预测值为98.7%.
- 人工智能平台在AUC (0.92比0.76),特异性 (90.9%比53.3%),精度 (99.8%比98.9%) 和MCC (0.77比0.72) 方面表现优于CT扫描.
- 决策和临床影响分析表明,人工智能平台在广的概率范围内 (6%-96%) 具有显著的净益处.
结论:
- 人工智能平台在诊断急性尾炎方面表现出卓越的灵敏度,特异性和准确性 (>90%).
- 人工智能平台可以帮助临床医生在疑似急性尾炎的决策中.
- 这种人工智能工具在获得CT扫描的机会有限的环境中尤为有价值.
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