Alibaba’s Damo Academy Open-Sources AI Model That Detects Nearly 150 Abdominal Conditions in CT Scans
Summary
Alibaba’s Damo Academy open-sources Damo Radar, an AI model that analyzes contrast-enhanced CT scans across 18 abdominal organs to detect 146 findings—including cancers—with a reported average AUC of 0.913 in nearly 40,000 real-world examinations.
Key Points
- Alibaba's Damo Academy open-sources Damo Radar, an AI model that reads CT scans to identify nearly 150 abdominal conditions, including cancers.
- Damo Radar analyses contrast-enhanced CT scans across 18 abdominal organs and detects malignant tumours and other abnormalities.
- Trained on CT scans paired with clinical reports, the model scores an average AUC of 0.913 across 146 findings in nearly 40,000 real-world examinations.