深度学习改变了从组织病理学图像预测结直肠癌生物标志物的方式。
Deep learning transforms colorectal cancer biomarker prediction from histopathology images.
机构信息
Institute of Biomedicine, University of Turku, Turku, Finland; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
出版信息
Cancer Cell. 2023 Sep 11;41(9):1543-1545. doi: 10.1016/j.ccell.2023.08.006. Epub 2023 Aug 30.
Artificial intelligence (AI) is rapidly gaining interest in medicine, including pathological assessments for personalized medicine. In this issue of Cancer Cell, Wagner et al. demonstrate superior accuracy of transformer-based deep learning in predicting biomarker status in CRC. The work has implications for increased efficiency and accuracy in clinical diagnostics guiding treatment decisions in precision oncology.
人工智能（AI）在医学领域的应用越来越受到关注，包括用于个性化医学的病理评估。在本期《癌细胞》杂志中，Wagner 等人证明了基于转换器的深度学习在预测 CRC 生物标志物状态方面具有更高的准确性。这项工作对于提高临床诊断的效率和准确性具有重要意义，有助于指导精准肿瘤学中的治疗决策。
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