clinical decision threshold

Evaluate oncology AI models at the threshold that truly matters for care.

Oncothresh asks a sharper question than most oncology AI tools: how does a model perform at the exact cutoff that decides whether a patient gets flagged or treated? That's the point of care, not aggregate AUC. The library brings sensitivity, specificity, PPV, NPV, bootstrap intervals, and decision-curve net benefit to that single threshold. It's dependency-light, practical, and paired with a no-code dashboard for instant analysis. For teams tired of global metrics, this is a focused step toward clinically meaningful evaluation.