Multicenter analysis shows that deep learning predicts outcomes in gastrointestinal stromal tumors, indicating potential advancements in treatment strategies.
DL applied to WSIs enables prediction of molecular alterations, treatment sensitivity, and RFS in GIST, performing comparably to established risk scores across international cohorts, providing a baseline for future multimodal predictors.
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Bonetti et al. (2026) studied this question.
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