
AI models can turn routine head CT scans into automated cardiovascular risk assessments, expanding the utility of radiology studies.
Key Details
- 1Researchers developed deep learning models to extract cardiovascular risk data from routine head CT images.
- 2The study used nearly 100,000 head CT scans from over 35,000 patients.
- 3One model predicted time to cardiovascular disease (CVD) events from head CTs.
- 4Another model estimated coronary artery calcium (CAC) scores based on head CT data.
- 5AI enables opportunistic screening for heart risk without dedicated cardiac imaging.
Why It Matters

Source
Cardiovascular Business
Related News

Deep Learning Models Rival Radiologists for Pancreatic Cancer Detection on CT
Deep-learning models achieved comparable or superior accuracy to experienced radiologists in detecting pancreatic cancer on CT scans, especially for small tumors.

Radiology AI Devices at Elevated Risk for FDA Recalls, Study Finds
Radiology AI devices are more likely to face FDA recalls, largely due to deviations from intended use and incomplete clinical data.

MyChart Imaging Access Links Reduce Radiologist Workload and Improve Patient Care
Embedding imaging access links in MyChart portals significantly reduces manual workload for radiologists and increases patient engagement.