计算病理学在癌症诊断、预后和预测中的应用——现状和展望

IF 5.6 2区 医学 Q1 ONCOLOGY
Gregory Verghese, Jochen K Lennerz, Danny Ruta, Wen Ng, Selvam Thavaraj, Kalliopi P Siziopikou, Threnesan Naidoo, Swapnil Rane, Roberto Salgado, Sarah E Pinder, Anita Grigoriadis
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引用次数: 1

摘要

计算病理学是指应用深度学习技术和算法来分析和解释组织病理学图像。人工智能(AI)的进步导致了计算病理学创新的爆发,从常规诊断任务自动化的前景到从组织形态学中发现新的预后和预测生物标志物。尽管计算病理学具有很好的潜力,但其在临床环境中的整合受到一系列障碍的限制,包括操作、技术、监管、伦理、财务和文化挑战。在这里,我们关注病理学家对计算病理学的看法:我们绘制了其当前的转化研究前景,评估了其临床效用,并解决了减缓临床采用和实施的更常见挑战。最后,我们介绍了推动这些技术发展的当代方法。©2023作者。病理学杂志由John Wiley&;代表大不列颠及爱尔兰病理学会的Sons有限公司。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Computational pathology in cancer diagnosis, prognosis, and prediction – present day and prospects

Computational pathology in cancer diagnosis, prognosis, and prediction – present day and prospects

Computational pathology refers to applying deep learning techniques and algorithms to analyse and interpret histopathology images. Advances in artificial intelligence (AI) have led to an explosion in innovation in computational pathology, ranging from the prospect of automation of routine diagnostic tasks to the discovery of new prognostic and predictive biomarkers from tissue morphology. Despite the promising potential of computational pathology, its integration in clinical settings has been limited by a range of obstacles including operational, technical, regulatory, ethical, financial, and cultural challenges. Here, we focus on the pathologists’ perspective of computational pathology: we map its current translational research landscape, evaluate its clinical utility, and address the more common challenges slowing clinical adoption and implementation. We conclude by describing contemporary approaches to drive forward these techniques. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

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来源期刊
The Journal of Pathology
The Journal of Pathology 医学-病理学
CiteScore
14.10
自引率
1.40%
发文量
144
审稿时长
3-8 weeks
期刊介绍: The Journal of Pathology aims to serve as a translational bridge between basic biomedical science and clinical medicine with particular emphasis on, but not restricted to, tissue based studies. The main interests of the Journal lie in publishing studies that further our understanding the pathophysiological and pathogenetic mechanisms of human disease. The Journal of Pathology welcomes investigative studies on human tissues, in vitro and in vivo experimental studies, and investigations based on animal models with a clear relevance to human disease, including transgenic systems. As well as original research papers, the Journal seeks to provide rapid publication in a variety of other formats, including editorials, review articles, commentaries and perspectives and other features, both contributed and solicited.
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