Artificial intelligence in histopathology: enhancing cancer research and clinical oncology

IF 23.5 1区 医学 Q1 ONCOLOGY
Artem Shmatko, Narmin Ghaffari Laleh, Moritz Gerstung, Jakob Nikolas Kather
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引用次数: 81

Abstract

Artificial intelligence (AI) methods have multiplied our capabilities to extract quantitative information from digital histopathology images. AI is expected to reduce workload for human experts, improve the objectivity and consistency of pathology reports, and have a clinical impact by extracting hidden information from routinely available data. Here, we describe how AI can be used to predict cancer outcome, treatment response, genetic alterations and gene expression from digitized histopathology slides. We summarize the underlying technologies and emerging approaches, noting limitations, including the need for data sharing and standards. Finally, we discuss the broader implications of AI in cancer research and oncology. Schmatko et al. review the application of artificial intelligence to digitized histopathology for cancer diagnosis, prognosis and classification and discuss its potential utility in the clinic and broader implications for cancer research and care.

Abstract Image

组织病理学中的人工智能:提高癌症研究和临床肿瘤学水平
人工智能(AI)方法使我们从数字组织病理学图像中提取定量信息的能力倍增。人工智能有望减少人类专家的工作量,提高病理报告的客观性和一致性,并通过从常规可用数据中提取隐藏信息产生临床影响。在此,我们将介绍如何利用人工智能从数字化组织病理切片中预测癌症预后、治疗反应、基因改变和基因表达。我们总结了基础技术和新兴方法,指出了局限性,包括数据共享和标准的必要性。最后,我们讨论了人工智能对癌症研究和肿瘤学的广泛影响。Schmatko 等人回顾了人工智能在癌症诊断、预后和分类中对数字化组织病理学的应用,并讨论了其在临床中的潜在用途以及对癌症研究和治疗的广泛影响。
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来源期刊
Nature cancer
Nature cancer Medicine-Oncology
CiteScore
31.10
自引率
1.80%
发文量
129
期刊介绍: Cancer is a devastating disease responsible for millions of deaths worldwide. However, many of these deaths could be prevented with improved prevention and treatment strategies. To achieve this, it is crucial to focus on accurate diagnosis, effective treatment methods, and understanding the socioeconomic factors that influence cancer rates. Nature Cancer aims to serve as a unique platform for sharing the latest advancements in cancer research across various scientific fields, encompassing life sciences, physical sciences, applied sciences, and social sciences. The journal is particularly interested in fundamental research that enhances our understanding of tumor development and progression, as well as research that translates this knowledge into clinical applications through innovative diagnostic and therapeutic approaches. Additionally, Nature Cancer welcomes clinical studies that inform cancer diagnosis, treatment, and prevention, along with contributions exploring the societal impact of cancer on a global scale. In addition to publishing original research, Nature Cancer will feature Comments, Reviews, News & Views, Features, and Correspondence that hold significant value for the diverse field of cancer research.
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