Figure 2 from Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors

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Abstract
DL predicts treatment sensitivity and supports clinical decision-making in GIST. A, Standard clinical workflow from initial diagnosis to treatment selection in patients with GIST. B, Proposed integration of the DL model into the diagnostic–therapeutic pathway, enabling early triage of patients for further molecular analysis or tailored treatment selection. C, AUC with 95% CI for DL-based prediction of treatment sensitivity, reported for the internal validation cohort (pink), external validation cohort (green), and an external biopsy-only validation cohort (light green). D, Confusion matrices for avapritinib and imatinib sensitivity, shown at the optimal threshold by Youden’s index (green) and at the threshold yielding the highest F1 score (pink).