Neuro-VL vision-language model trained on one million neuroimaging studies
Training on real clinical archives lets a specialized model beat general frontier systems on both capability and resistance to leading clinical prompts — a notable result for medical AI evaluation methodology. Radiology teams, hospital AI buyers and health AI developers should examine its benchmark design, especially the longitudinal comparison task, when assessing clinical imaging products.