利略是一个人工智能工具,用于评估植入前脏活检
Albino Eccher1, Vincenzo L'Imperio2, Liron Pantanowitz3
1Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy.
Journal of nephrology
|October 2, 2024
概括
人工智能 (AI) 显著加快了脏供体活检的解释速度,减少了病理学家的工作量. 这种人工智能工具有助于评估移植前活检,提高效率和潜在的移植存活率.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 数字病理学数字病理学
- 人工智能的人工智能
背景情况:
- 移植前脏活检的解释是复杂和耗时的.
- 缺少病理学专家加剧了解释方面的挑战.
- 人工智能 (AI) 提供了一种解决方案,以协助病理学家评估脏供体活检.
研究的目的:
- 引入"利略"人工智能工具,用于协助病理学家进行植入前脏活检.
- 评估人工智能工具在检测关键脏结构和发现方面的性能.
主要方法:
- 使用了一组多中心的脏活检全片图像.
- 训练了一种深度学习算法来识别正常的,全球性硬化和缺血性淋巴细胞,以及动脉和动脉.
- 人工智能模型由三个独立的病理学家在外部数据集上验证.
主要成果:
- 在训练组中,利略实现了高精度 (81.96%) 和灵敏度 (94.39%).
- 在验证组中,利略显示精度为74.05%和灵敏度为71.03%.
- 与人类病理学家的22-31分钟相比,利略显著减少了翻译时间至2分钟 (p < 0.001).
结论:
- 利略人工智能工具在加速移植前脏活检解释方面表现有前途.
- 人工智能协助可以帮助减少病理学家之间的观察者间的变化.
- 这种人工智能工具可以作为影响移植存活的未来改进的基础.
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