Alibaba's Coca AI Model Outperforms Radiologists in Colorectal Cancer Detection
Alibaba Group Holding has released an AI model named Coca, developed by its research arm Damo Academy, which claims higher sensitivity than radiologists in detecting early-stage colorectal cancer from non-contrast CT scans. In a study involving over 27,000 people, Coca identified five previously missed cases, achieving 86.6% sensitivity and 99.8% specificity. Damo Academy stated that Coca outperformed 10 radiologists by 20.4% in sensitivity. The model was developed with Chinese institutions including Guangdong General Hospital. Current diagnostic methods like colonoscopy are invasive, while Coca offers a non-invasive, cost-effective alternative. The findings were published in the Annals of Oncology peer-reviewed journal last week.
Key facts
- Alibaba's Damo Academy released Coca AI model for colorectal cancer detection.
- Coca identified five previously missed cases from scans of over 27,000 people.
- Coca achieved 86.6% sensitivity and 99.8% specificity.
- Coca outperformed 10 radiologists by 20.4% in sensitivity.
- Developed with Chinese institutions including Guangdong General Hospital.
- Coca is non-invasive and cost-effective compared to colonoscopy.
- Study published in Annals of Oncology last week.
- Alibaba owns the South China Morning Post.
Entities
Institutions
- Alibaba Group Holding
- Damo Academy
- Guangdong General Hospital
- Annals of Oncology
- South China Morning Post
Locations
- China