Researchers developed an AI model that can accurately detect fatty liver disease from routine chest X-rays.
Key Details
- 1The AI model was created by Osaka Metropolitan University researchers.
- 2It was trained and validated with 6,599 chest X-ray images from 4,414 patients.
- 3Model performance was strong, with AUC between 0.82 and 0.83.
- 4Chest X-rays are less costly and more commonly performed than ultrasounds, CTs, or MRIs currently used for liver diagnosis.
- 5Results were published in Radiology Cardiothoracic Imaging on June 20, 2025.
Why It Matters
This approach could enable earlier and more widespread detection of fatty liver disease using existing chest X-rays, reducing the need for more expensive or specialized imaging modalities. It demonstrates the potential for AI to repurpose common imaging studies for new clinical insights in radiology.
Source
EurekAlert
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