B1 Non-refereed article in a scientific journal
Deep learning transforms colorectal cancer biomarker prediction from histopathology images
Authors: Ruusuvuori Pekka, Valkonen Mira, Latonen Leena
Publisher: Cell Press
Publication year: 2023
Journal: Cancer Cell
Journal name in source: Cancer cell
Journal acronym: Cancer Cell
Volume: 41
Issue: 9
First page : 1543
Last page: 1545
ISSN: 1535-6108
eISSN: 1878-3686
DOI: https://doi.org/10.1016/j.ccell.2023.08.006
Web address : https://doi.org/10.1016/j.ccell.2023.08.006
Abstract
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.
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.
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