RADAR-Generalist team, published in Science · Abdominal CT Vision Model

RADAR

A generalist vision-language model for abdominal CT diagnosis, trained on more than 400,000 contrast-enhanced CT examinations distilled into 15 million anatomy-aware image-text pairs, learning directly from clinical reports rather than manual annotation. RADAR+ variants finetune further on the Merlin-CT-Train dataset over a UNet vision branch with Chinese and English BERT tokenisers. Released under CC BY-NC-SA 4.0 and explicitly stated as research-only pending clinical validation, with no benchmark scores published on the card itself.