VLM Guided Phenotyping of KOA

An automated, interpretable, and data-driven multimodal framework to identify OA phenotypes early which uses a Vision-Language Model (VLM) that combines X-rays, clinical data, and text into one shared representation, allowing it to learn the hidden relationships between structural damage and a patient’s clinical profile.