A Discordance-Aware Multimodal Framework with Multi-Agent Clinical Reasoning

This research proposes a discordance-aware multimodal framework for knee osteoarthritis, integrating machine learning prediction models with a multi-agent reasoning system. It leverages various data modalities, including tabular features, MRI, and X-ray embeddings, to predict joint space loss and pain progression.