Quantitative imaging plays a critical role in detecting disease progression and guiding clinical decisions, yet manual measurements and inconsistent documentation can limit precision and delay follow-up. Radiologists face increasing pressure to deliver accurate, reproducible assessments while managing growing imaging volumes across cardiovascular and vascular domains.
This bundled AI-powered solution combines automated image-based measurement of abdominal aortic diameter with advanced language model algorithms for coronary artery calcification detection and reporting. By unifying quantitative analysis with automated extraction of key findings from imaging reports, it enhances measurement consistency, streamlines reporting, and enables more proactive management of patients at risk for aortic rupture or coronary artery disease.