Open-source Python library + no-code web dashboard for evaluating oncology AI models at clinical decision thresholds. [P]

Excerpt

Most classification metrics for oncology AI models (AUC, ICC, MAE) measure global agreement. They don't answer the question that actually matters at the point of care: how reliable is this model at the exact cutoff that decides whether a patient gets flagged, biopsied, or treated? I built oncothresh to evaluate models at a specific clinical threshold rather than in aggregate: sensitivity/specificity/PPV/NPV at the cutoff, bootstrap confidence intervals, threshold-sensitivity curves, boundary-wei