CAC (gated) Algorithm
Overview
The CAC (gated) Algorithm by BunkerHill Health is an FDA-cleared artificial intelligence software designed to automatically detect and quantify coronary artery calcium (CAC) from non-contrast, ECG-gated cardiac CT scans. This tool integrates seamlessly into physicians’ existing workflows, providing crucial calcium segmentation and quantification information to assist in the comprehensive evaluation of coronary artery health. It is specifically intended for use in patients aged 30 years and above.
As part of BunkerHill Health’s broader Carebricks platform, the CAC (gated) Algorithm helps streamline structured reporting for radiologists by pre-populating CAC measurements. This integration enables health systems to design and deploy AI-powered, end-to-end workflows across various specialties, enhancing clinical operations and improving care delivery at scale by turning patient data into actionable insights and automating subsequent steps.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automatic detection and quantification of coronary artery calcium (CAC)
- Analysis of non-contrast ECG-gated cardiac CT scans
- Provides calcium segmentation and quantification
- Integrates into physicians' standard workflow
- Pre-populates structured reports for radiologist review and approval
- Aids in assessing coronary artery health
- Supports opportunistic detection of cardiovascular disease
- Part of the broader Carebricks platform for AI-powered workflows
- FDA-cleared medical device
Use Cases
- Streamlining structured reporting for CAC measurements on gated CT
- Prioritizing high CAC gated CTs for review and clinician notification
- Assessing coronary artery health in patients aged 30 and above
- Automating clinical operations and improving care delivery at scale
- Identifying cardiovascular risks and opportunities using AI grounded in guidelines and patient context
- Automating complex workflows to reduce manual effort for care teams
What Physicians Need to Know
The CAC (gated) Algorithm is an FDA-cleared AI tool designed to automatically quantify coronary artery calcium from non-contrast ECG-gated cardiac CT scans. Physicians should leverage its precise calcium segmentation and Agatston scores as an adjunctive aid in assessing coronary artery health and overall cardiovascular risk. Integrate these quantitative results with comprehensive patient history and other clinical risk factors to guide personalized preventive care strategies and treatment decisions, such as statin initiation. Remember, the algorithm provides supportive information and is not intended for stand-alone diagnosis.
The CAC (gated) Algorithm is built for seamless integration into existing clinical environments. It offers one-click FHIR-compliant integration with EHRs, connectivity with PACS/imaging systems for result viewing, and can interface with MyChart for patient messaging. Further integrations include laboratory systems, order entry systems, payer systems for prior authorization, clinical registries, SMS gateways, email systems, and telephony/AI voice providers. It also supports integration with partner imaging analysis systems like Cleerly. The output is delivered to existing systems for physician review within their standard workflow.
Details
| Category | Cardiology AI, Radiology & Imaging AI |
| Pricing | Contact for pricing — Contact BunkerHill Health for detailed pricing information. |
| Deployment | Cloud |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
Yes AI-estimated The CAC (gated) Algorithm received FDA clearance on September 27, 2024, under K240369. It is classified as a Class II medical device (21 CFR 892.1750, Product Code: JAK) and is intended for estimating the presence and quantity of coronary artery calcium in patients aged 30 years and above from non-contrast ECG-gated cardiac CT images. |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Radiology |
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