Association between deep learning-based coronary artery calcium score on non-gated chest CT and progression of chronic kidney disease: a retrospective observational cohort study
Routine chest scans analyzed by AI can predict kidney disease progression, adding preventive insight from imaging already performed.
This study evaluates a deep learning coronary artery calcium score applied to non-gated chest CTs to predict chronic kidney disease progression, enabling opportunistic cardiorenal risk stratification from routine imaging. The approach adds clinical value to ubiquitous chest CT scans already obtained for other indications.
What the study was
- Study design
- Retrospective observational cohort
- Population
- Patients with non-gated chest CT and CKD risk
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- BMC Medical Imaging
Why it surfaced
Reasonable opportunistic DL application to chest CT for cardiorenal risk; incremental clinical value without major novelty.
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