PRISM2 model uses clinical dialogue to interpret pathology slides

Built by Paige and Microsoft, PRISM2 reads whole-slide images through a perceiver-based encoder trained jointly on tissue tiles and clinical dialogue drawn from pathology reports. The model aggregates thousands of tile embeddings per slide into one representation, then generates text that answers diagnostic questions rather than simply classifying pixels.  Training data spans 2.3 million whole-slide […] The post PRISM2 model uses clinical dialogue to interpret pathology slides appeared first on AI News.