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使用人工智能检测皮肤真菌感染的决策支持系统

Naama Rappoport¹, Gil Goldinger², Assaf Debby²

¹Department of Dermatology, Rabin Medical Center, Beilinson Hospital, Petach Tikva, Israel; Institute of Pathology, Sheba Medical Center, Ramat Gan, Israel; Department of Dermatology, Sheba Medical Center, Ramat Gan, Israel; Faculty of Medicine, Tel Aviv University, Israel.

Pathology, research and practice

|August 1, 2024

概括

一个人工智能 (AI) 工具有效地识别皮肤活检中的真菌元素,帮助病理学家. 这种人工智能解决方案显示出高准确性,可能加速皮肤真菌感染的诊断.

科学领域:

皮肤病理学皮肤病理学
医学真菌学医学真菌学
人工智能在医学中的应用

背景情况:

皮肤真菌感染很普遍,使得显微镜识别耗时.
标准的诊断方法,如PAS和GMS染色,需要专家解释.
菌类的形态变异性对自动化分析提出了挑战.

研究的目的:

开发和验证一种新型的人工智能 (AI) 解决方案,用于检测皮肤活检中的真菌元素.
评估AI作为病理学家的决策支持系统的性能.
提高皮肤真菌感染诊断的效率和准确性.

主要方法:

使用PAS和GMS染色的数字化皮肤活检图像开发AI算法.
专家病理学家对真菌元素进行注释,以创建地面真相数据.
在两个独立的患者样本队伍上验证AI算法.

主要成果:

人工智能算法在两个验证队列中实现了高诊断性能.
灵敏度从0.8到0.93不等,特异性从0.97到0.99.
F1得分分别为0.78和0.95,表明了强大的检测能力.

结论:

开发的AI解决方案显示了作为诊断真菌皮肤感染的决策支持工具的希望.
这种人工智能方法可以显著减少病理学家的诊断时间和成本.
进一步的验证证实了AI在皮肤病理学中的真菌检测潜力.

关键词:

人工智能 (AI) 是一种人工智能.深度病理学病理学皮肤病理学皮肤病理学的元素是真菌的元素.菌的真菌是一种

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