# Alibaba open-sources Damo Radar model to detect 146 abdominal conditions

Digest AI · Generative AI & Models · published 2026-09-18T23:53:55Z

Canonical: https://digestai.news/story/alibaba-open-sources-damo-radar-model-to-detect-146-abdominal-conditio

## Summary

Alibaba Group Holding's research arm, Damo Academy, has open-sourced Damo Radar, a vision-language AI model designed to identify nearly 150 abdominal conditions from contrast-enhanced CT scans. The model covers 18 abdominal organs and can detect abnormalities such as malignant tumors. It was trained using CT scans paired with clinical reports.

In nearly 40,000 real-world examinations, the model achieved an average area under the curve (AUC) of 0.913 across 146 clinical findings. In a comparative study involving 26 human radiologists, Damo Radar's average accuracy exceeded that of 23 participants. Using the model helped radiologists improve their ability to prevent missed diagnoses by 10 percent and reduced the time required by more than 30 percent, according to Damo Academy.

## Key points

- Damo Radar analyzes contrast-enhanced CT scans across 18 abdominal organs to identify 146 clinical findings.
- The model achieved an average AUC of 0.913 in nearly 40,000 real-world examinations.
- Radiologists using the model reduced diagnostic time by over 30 percent and improved missed-diagnosis prevention by 10 percent.

## Why it matters

Open-sourcing an expert-level medical imaging model could accelerate clinical AI adoption, helping radiologists diagnose complex abdominal conditions faster and with fewer errors.

## Sources

1. [Alibaba open-sources AI model that can detect cancer and nearly 150 conditions](https://scmp.com/tech/big-tech/article/3368055/alibaba-open-sources-medical-ai-model-can-detect-cancer-and-nearly-150-conditions) (scmp.com, 2026-09-18)

## Cite

Digest AI, "Alibaba open-sources Damo Radar model to detect 146 abdominal conditions", 18 September 2026, https://digestai.news/story/alibaba-open-sources-damo-radar-model-to-detect-146-abdominal-conditio

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