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
•AuntMinnie
Study: Computer Vision Models Best LLMs in Chest CT Breast Abnormality Detection
Computer vision models (CVMs) surpass large language models (LLMs) in accurately labeling incidental breast abnormalities on chest CT scans.
•Radiology Business
Private Equity Backs AIRS Medical to Expand MRI AI Globally
TA Associates is investing in AIRS Medical to accelerate its global expansion of AI-powered MRI efficiency solutions.
•Cardiovascular Business
Radiology Maintains Lead in FDA-Cleared AI Algorithms, Cardiology Follows
Radiology remains the top specialty for FDA-cleared AI, with cardiology as a strong second, particularly in cardiovascular imaging.