Overview
DAMO RADAR is an open-source generalist vision-language model from damo-academy for contrast-enhanced abdominal CT diagnosis across 18 organs and ~146 clinical findings.
Key Metrics
- Mean AUC 0.913 on ~40,000 real-world examinations (self-reported)
- Trained on 400K+ CT exams, 15M image-text pairs
- Apache 2.0 on GitHub; weights on Hugging Face
- Findings published in Science per Yicai reporting
Clinical deployment requires regulatory approval (FDA, CE, TİTCK). AUC is vendor-reported on internal evaluation sets.
Related
- damo-academy
- alibaba
- medical-ai
- vision-language-models
- generalist-medical-imaging
- abdominal-ct-ai
- cancer-detection-ai
- open-weight-models