Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, One Medical Center Drive, Lebanon, NH 03756, USA; Geisel School of Medicine at Dartmouth, Hanover, NH 03750, USA.
Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, One Medical Center Drive, Lebanon, NH 03756, USA; Geisel School of Medicine at Dartmouth, Hanover, NH 03750, USA. Electronic address: https://twitter.com/darcykerrMD.
Surg Pathol Clin. 2024 Sep;17(3):521-531. doi: 10.1016/j.path.2024.04.011. Epub 2024 May 30.
The practice of cytopathology has been significantly refined in recent years, largely through the creation of consensus rule sets for the diagnosis of particular specimens (Bethesda, Milan, Paris, and so forth). In general, these diagnostic systems have focused on reducing intraobserver variance, removing nebulous/redundant categories, reducing the use of "atypical" diagnoses, and promoting the use of quantitative scoring systems while providing a uniform language to communicate these results. Computational pathology is a natural offshoot of this process in that it promises 100% reproducible diagnoses rendered by quantitative processes that are free from many of the biases of human practitioners.
近年来，细胞病理学的实践得到了显著的改进，主要是通过为特定标本的诊断创建共识规则集（如贝塞斯达、米兰、巴黎等）。总的来说，这些诊断系统侧重于减少观察者间的差异，消除模糊/冗余的类别，减少使用“非典型”诊断，并促进使用定量评分系统，同时提供统一的语言来传达这些结果。计算病理学是这一过程的自然分支，因为它承诺通过定量过程实现 100%可重复的诊断，而这些过程不受许多人类从业者的偏见的影响。
