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Alibaba open-sources AI model for detecting 150 abdominal conditions from CT scans
Key points
- Alibaba's Damo Academy open-sourced the Damo Radar AI model.
- Damo Radar detects nearly 150 abdominal conditions from CT scans.
- The model was trained on 40,000 real-world CT examinations.
- It achieved an average AUC of 0.913 across 146 clinical findings.
Alibaba Open-Sources Medical AI Model
Alibaba Group Holding's research arm, Damo Academy, has open-sourced an artificial intelligence model named Damo Radar. This vision-language model is designed to analyze contrast-enhanced CT scans of 18 abdominal organs and identify a wide range of diseases and abnormalities, including malignant tumors.
Performance and Training
Damo Radar was trained using CT scans paired with clinical reports. In tests involving nearly 40,000 real-world examinations, the model achieved an average area under the curve (AUC) of 0.913 across 146 clinical findings. An AUC of 1.0 indicates perfect diagnostic accuracy.
Implications for Medical Imaging
The research team stated that the training methodology used for Damo Radar could be extended to other types of medical imaging. They referred to the model as the "world's first expert-level generalist medical imaging model," suggesting its potential for broader application in medical diagnostics.
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Reporting from
Alibaba's Damo Academy has open-sourced Damo Radar, an AI model that identifies nearly 150 abdominal conditions, including cancers, from CT scans. This development allows broader access to advanced medical imaging analysis, potentially improving diagnostic capabilities in healthcare.