Bunkerhill Health receives FDA clearance for an AI model that detects mitral annular calcification (MAC) on routine, non-gated CT scans.
Key Details
- 1Bunkerhill Health’s AI model (Bunkerhill MAC) is FDA-cleared to detect and evaluate MAC.
- 2The tool works on routine, non-gated CT scans, expanding accessibility for cardiovascular risk detection.
- 3This is the first FDA-approved AI specifically for MAC identification.
- 4Development included data from over 25 academic medical centers, including Stanford University.
- 5The algorithm is integrated into Carebricks, Bunkerhill Health’s generative AI platform.
Why It Matters
This clearance introduces a new, scalable AI solution to consistently identify a cardiovascular risk marker that can be missed in routine practice, potentially improving patient care and research. Automating MAC detection could significantly impact cardiovascular and structural heart disease assessments in radiology workflows.
Source
Cardiovascular Business
Related News
•Radiology Business
AI Automates Head CT Reformatting, Improving Efficiency and Consistency
Researchers at UC Irvine used deep learning to automate head CT reformatting, improving workflow standardization and efficiency.
•Radiology Business
Aidoc Receives FDA Breakthrough Status for Multi-Condition CT AI Triage
Aidoc has received FDA Breakthrough Device status for its AI solution that flags multiple critical conditions in CT scans.
•Radiology Business
AI Triage Cuts CT Report Turnaround for Pulmonary Embolism—Daytime Only
FDA-backed study finds AI triage tools reduce radiology CT report turnaround times for pulmonary embolism during peak hours.