Fabián Ondřej, Švajdler Marián, Jirásek Tomáš
Cesk Patol. 2025;61(1):22-28.
The application of digital pathology and artificial intelligence in anatomical pathology represents a revolutionary step towards the modernization of diagnostic processes. Digitalization, primarily based on creation and subsequent use of whole slide imaging, enables generating of full digital images of histological slides, offering potential benefits in diagnostic accuracy and accessibility. Unlike traditional microscopy, digital pathology also facilitates telemedicine and remote consultation, opening new possibilities for collaboration and sharing of expertise at both national and international levels. However, implementing a digital workflow requires substantial investments in scanners, software platforms, high-capacity storage, and IT infrastructure. Despite considerable costs of implementation, it brings numerous advantages, including time savings, opportunities for centralized diagnostics, and a reduction in sample transport costs. This paper focuses on the practical aspects of implementing digital pathology in pathology laboratories, emphasizing the benefits, risks, and technological requirements associated with digitalized workflows. It also discusses crucial roles of validation and verification, which are essential for ensuring a diagnostic accuracy of digital images compared to conventional microscopy. The article presents digital pathology as a dynamically evolving field with high potential for personalized medicine, improved diagnostic accuracy, and support for remote collaboration, addressing the growing demands of modern medicine.
数字病理学和人工智能在解剖病理学中的应用代表了诊断流程现代化的革命性一步。数字化主要基于全玻片成像的创建及后续使用,能够生成组织学玻片的全数字图像,在诊断准确性和可及性方面具有潜在优势。与传统显微镜不同,数字病理学还促进了远程医疗和远程会诊,为国家和国际层面的合作与专业知识共享开辟了新的可能性。然而,实施数字化工作流程需要在扫描仪、软件平台、大容量存储和信息技术基础设施方面进行大量投资。尽管实施成本高昂,但它带来了诸多优势,包括节省时间、集中诊断的机会以及样本运输成本的降低。本文重点关注病理实验室实施数字病理学的实际方面,强调与数字化工作流程相关的益处、风险和技术要求。它还讨论了验证和核查的关键作用,这对于确保数字图像与传统显微镜相比的诊断准确性至关重要。本文将数字病理学呈现为一个动态发展的领域,在个性化医疗、提高诊断准确性和支持远程协作方面具有巨大潜力,满足了现代医学不断增长的需求。