Adding case-based reasoning with historical examples to medical screening models improves both accuracy and interpretability—doctors can see which past cases influenced the diagnosis and where the model detected problems.
EviScreen is a medical image screening system that improves disease detection by retrieving and reasoning with similar historical cases. Instead of making predictions in isolation, it finds relevant past examples and uses them to guide its decision-making, while also generating interpretable maps showing where abnormalities are located.