How to help AI doctors spot tiny, hidden lesions without retraining

Medical vision-language models struggle with tiny, low-contrast lesions because weak visual cues get buried when combining local image patches into global representations. EasyLens adds a training-free layer that identifies lesion-relevant patches using pathology prototypes, then amplifies their signal in the final embedding—like turning up the volume on faint acoustic signals. Works with any frozen medical VLM across multiple imaging datasets without retraining.