Alibaba open-sources Damo Radar, a CT-scan AI that beats most radiologists
Alibaba's Damo Academy releases an open-source vision-language model that spots nearly 150 abdominal conditions, including cancers, from CT scans.
What to know
- Damo Radar is described by its developers as "the world's first expert-level generalist medical imaging model" and has been released as open source.
- In a study of 26 radiologists across multiple hospitals, the model outperformed 23 of them on average.
- Radiologists using the model as an aid cut missed diagnoses by 10% and reduced diagnosis time by more than 30%.
- The research team says the training approach could later be extended to other types of medical imaging beyond abdominal CT.
Alibaba Group Holding Parent companyDamo Academy Alibaba's research arm and model developer
How it unfolded 2 developments, newest first · click a bar or a number to jump articlesposts
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Coverage of the release spreads to tech aggregators and social feeds
The SCMP report was picked up on Hacker News and shared on social platforms such as Mastodon, generating modest engagement.
“the world's first expert-level generalist medical imaging model…”
— Damo Academy research team, Model developer · source -
Mind you (not specifically you, OP), there's AI and there's AI. What we nowadays call "AI" refers to Generative AI, be it LLM, image or video/music generation. We've called things AI for 80 years in various forms. Their AI use-case is what 20 years ago we used to call "big data". Data analysis. And it's an actually useful case, as it's heavily…
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Study in Science details model's diagnostic performance
The model achieved an average AUC of 0.913 across 146 clinical findings in nearly 40,000 real-world exams; in a trial with 26 radiologists it outperformed 23 of them, and radiologists using it cut missed diagnoses by 10% and diagnosis time by over 30%.
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background
Alibaba's Damo Academy open-sources Damo Radar model — Damo Academy released the vision-language AI model, which analyzes contrast-enhanced CT scans covering 18 abdominal organs to identify a broad range of diseases and abnormalities, including malignant tumors.
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first by Anadolu Agency, 7d ago · also HN Best, HN Frontpage, South China Morning Post
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