Alibaba DAMO unveils AI models for cancer and abdominal CT

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  "signal_type": "news",
  "signal_subtype": "is_developing",
  "detected_at": "2026-09-28T03:47:26+00:00",
  "company": {
    "name": "Alibaba",
    "domain": "alibabagroup.com"
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  "data": {
    "url": "https://technode.global/2026/09/28/alibaba-damo-ai-cancer-abdominal-ct/",
    "title": "Alibaba DAMO unveils AI models for cancer and abdominal CT - TNGlobal",
    "excerpt": "Alibaba Group’s DAMO Academy has presented two artificial intelligence models for medical imaging, backed by peer-reviewed studies in Nature Medicine and Science. One system is designed to identify esophageal cancer and malignant precancerous lesions from routine noncontrast chest computed tomography scans. The other is a generalist model that evaluates contrast-enhanced abdominal CT images for 146 findings across 18 anatomical structures. The research indicates how AI could extract more diagnostic value from scans already performed in hospitals and screening programs. The results do not amount to regulatory approval or a clinical deployment, however, and both systems still require medical oversight and further evaluation. The Esophageal AI-Guided malignant Lesion Evaluation model, or EAGLE, was developed to flag high-risk patients using noncontrast CT images that include the esophagus. Early malignant changes can be difficult to see because the organ can collapse and is affected by motion from nearby structures. According to the Nature Medicine study , EAGLE was trained on scans from 6,813 patients at two centers and validated across 12 centers in China, the Czech Republic and Australia. The full validation program involved 80,612 patients in hospital, low-dose lung-screening and population-screening settings. In external tests covering 11,466 patients at eight centers, the...",
    "product": "RADAR",
    "summary": "Alibaba's DAMO Academy has developed a generalist AI model called RADAR (Rapid Abdominal Diagnosis with AI and Radiology) that evaluates contrast-enhanced abdominal CT images for 146 findings across 18 anatomical structures.",
    "planning": false,
    "image_url": "https://technode.global/wp-content/uploads/2026/09/Alibaba-Damo.jpeg",
    "confidence": 0.9,
    "product_data": {
      "name": "RADAR",
      "full_text": "Rapid Abdominal Diagnosis with AI and Radiology, or RADAR, a vision-language model",
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      "release_type": "model"
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    "published_at": "2026-09-28T03:47:26Z",
    "article_sentence": "DAMO also introduced Rapid Abdominal Diagnosis with AI and Radiology, or RADAR, a vision-language model trained on more than 400,000 contrast-enhanced abdominal CT examinations and 15 million anatomy-aware image-text pairs."
  }
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