Sensitivity vs Specificity in AI Disease Prediction

Use the slider to adjust the decision threshold for a sepsis prediction model. Lower thresholds increase sensitivity (catching more true cases) but decrease specificity (more false alarms).

True Negative (no sepsis, correctly predicted)

False Positive (no sepsis, predicted sepsis)

True Positive (sepsis, correctly predicted)

False Negative (sepsis, missed)