Evidential Reasoning Advances Interpretable Real-World Disease Screening
How AI disease screening learns from past cases to explain its decisions
A new AI system called EviScreen improves disease screening by retrieving similar cases from medical history and using them to explain its predictions. Rather than treating each scan in isolation, the system shows which past patients it learned from and highlights specific abnormal regions, making its reasoning transparent to doctors.
Doctors need to trust AI decisions about disease screening, especially when the stakes are high. By showing its work—pointing to specific abnormal regions and similar historical cases—EviScreen helps clinicians verify the AI's reasoning rather than accepting a black-box diagnosis. The system also catches more true cases at the sensitivity levels doctors need in practice.