A generalist medical language model for disease diagnosis assistance

Trained on a large corpus of medical text and patient records and tested across diseases, with specific focus on rare presentations, an open-source medical language model demonstrates higher accuracy than commercial counterparts across specialties and improves accuracy of clinicians in a reader study.