Hacker News front pageAnn Cao1 min readintro
Alibaba open-sources AI model that can detect cancer and nearly 150 conditions
Summary
Alibaba's Damo Academy open-sourced Damo Radar, an AI model that detects nearly 150 abdominal conditions, including cancers, from CT scans. It achieved an average AUC of 0.913 across 146 clinical findings and outperformed most human radiologists in a comparative study.
- Damo Radar identifies 146 abdominal conditions from contrast-enhanced CT scans of 18 organs.
- It achieved an average AUC of 0.913 across 40,000 real-world examinations.
- The model's accuracy exceeded 23 out of 26 human radiologists in a comparative study.
- It helped radiologists reduce missed diagnoses by 10% and reading time by over 30%.
This model represents a significant advance in medical AI, offering a generalist tool that can augment diagnostic accuracy and efficiency for radiologists, potentially improving patient outcomes.
7/10
