病理学家的AI:一种通用淋巴结转移检测应用程序,可以提高效率,同时保持诊断准确度.
Jennifer Vazzano1, Bindu Challa1, Vidya Arole1
1Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
The journal of pathology. Clinical research
|January 21, 2026
概括
人工智能 (AI) 工具可以提高病理学家的诊断准确性和效率. 一个在淋巴结转移上训练的AI应用程序被通用化以检测多个器官中的各种癌症类型,减少病理学家的工作量.
科学领域:
- 数字病理学数字病理学
- 医学中的人工智能
- 癌症诊断 癌症诊断 癌症诊断
背景情况:
- 病理学家的工作量和短缺导致诊断错误.
- 手动任务,如转移细胞的数量和转移细胞的检测是耗时和不可靠的.
- 数字病理学和人工智能为提高效率和准确性提供了潜在的解决方案.
研究的目的:
- 评估AI应用程序在各种癌症类型和器官中用于淋巴结转移检测的通用性.
- 评估人工智能协助对病理学家效率和诊断准确性的影响.
主要方法:
- 使用了一种商业AI工具 (Visiopharm应用程序),最初用于培训乳腺癌和结肠癌淋巴结转移.
- 人工智能工具分析了来自15个器官系统的12种癌症类型的172个幻灯片.
- 病理学家花费寻找转移的时间被测量为有或没有人工智能协助.
主要成果:
- 人工智能应用程序成功检测了15个器官系统中的12种不同的癌症类型的淋巴结转移.
- 人工智能协助减少了病理学家花在寻找转移的平均时间 (每张幻灯片54.7秒至42.1秒).
- 当使用人工智能生成的注释时,诊断准确度保持不变.
结论:
- 在特定数据集上训练的AI应用程序可以概括到检测多种癌症类型和器官的转移.
- 人工智能工具可以显著减少病理学家的工作量,提高效率,而不影响准确性.
- 将人工智能集成到数字病理学工作流中可以帮助解决病理学家短缺问题并提高患者护理.
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