GoKawiilAlibaba's Damo Academy open-sources Damo Radar, an AI for reading abdominal CT scans
Alibaba's research division Damo Academy has released as open source an AI vision-language model called Damo Radar, trained to interpret contrast-enhanced CT scans of 18 abdominal organs and flag around 150 conditions, including malignant tumors. Tested on nearly 40,000 real patient scans, the model reached an average diagnostic accuracy score (AUC) of 0.913 out of a possible 1.0 across 146 clinical findings.
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Open-sourcing a diagnostic model at this scale could let hospitals and researchers worldwide adapt the technology without building it from scratch, potentially speeding up cancer detection in regions with fewer radiologists. It also signals Alibaba's push to compete in medical AI, an area where accuracy and clinical trust are harder to establish than in general-purpose chatbots.
- Damo Radar can detect nearly 150 abdominal conditions, including cancers, from CT scans
- The model scored 0.913 AUC across 146 clinical findings in almost 40,000 real examinations
- Alibaba says the training approach could extend beyond abdominal imaging to other scan types
Source: scmp.com — Ann Cao, 2026-09-18
Published there as: “Alibaba open-sources AI model that can detect cancer and nearly 150 conditions”
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