- Deep learning model automatically labels coronary artery territories.
- Deep learning model automatically segments calcifications within the coronary artery territories and provides total and per-territory scores.
- Deep learning models were developed and trained based on a variety of clinical datasets from a global population, spanning multiple scanner types and vendors.
- Ability to assign calcifications to individual coronary artery branches.
- Ability to score and label calcifications found in the aorta and cardiac valves.
Consistency
>90% concordance with CACS‑DRS classification grouping1
Identification
>95% correct identification of the presence of coronary artery calcifications1
Labeling
>90% accurately labeled coronary artery territories1
