An open-source AI model using chest x-rays accurately predicts respiratory mortality in COPD patients, outperforming standard clinical risk grading.
Key Details
- 1CXR-Lung-Risk AI analyzed 4,226 chest x-rays from patients with mild to severe COPD.
- 2Study showed a 16% increase in respiratory mortality risk per five-year rise in AI risk score, after adjusting for clinical risk factors.
- 3AI model outperformed the GOLD grading system in predicting 10-year respiratory mortality (AUC: 0.76 vs 0.61, p < 0.001).
- 4Pulmonary function decreased as AI scores increased (p < 0.001).
- 5Model was tested in an external Asian population, broadening prior validation.
Why It Matters
This research demonstrates real-world value for deep learning in extracting prognostic biomarkers from standard chest radiographs, potentially aiding clinicians in risk stratification and management of COPD beyond conventional methods.
Source
AuntMinnie
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