Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
Department of Oncological Urology, University Medical Center Utrecht, Utrecht, the Netherlands.
Histopathology. 2024 May;84(6):924-934. doi: 10.1111/his.15153. Epub 2024 Mar 3.
The rapid introduction of digital pathology has greatly facilitated development of artificial intelligence (AI) models in pathology that have shown great promise in assisting morphological diagnostics and quantitation of therapeutic targets. We are now at a tipping point where companies have started to bring algorithms to the market, and questions arise whether the pathology community is ready to implement AI in routine workflow. However, concerns also arise about the use of AI in pathology. This article reviews the pros and cons of introducing AI in diagnostic pathology.
数字病理学的快速发展极大地促进了人工智能（AI）模型在病理学中的发展，这些模型在辅助形态学诊断和治疗靶点定量方面显示出了巨大的潜力。我们现在正处于一个临界点，各家公司已经开始将算法推向市场，人们开始质疑病理学界是否准备好将 AI 引入常规工作流程。然而，人们对 AI 在病理学中的应用也存在担忧。本文综述了将 AI 引入诊断病理学的优缺点。
