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Deep learning transforms colorectal cancer biomarker prediction from histopathology images
Pekka Ruusuvuori1, Mira Valkonen2, Leena Latonen3
1Institute of Biomedicine, University of Turku, Turku, Finland; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
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.
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