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
Adult-Trained Radiology AI Models Struggle in Pediatric Imaging
Adult-trained radiology AI models often underperform when applied to pediatric imaging data, according to a systematic review.
•AuntMinnie
AI Analyzes Chest CTs to Predict Cardiac Events Risk
A deep learning model can analyze routine chest CTs to predict major adverse cardiac event risk, outperforming traditional methods.
•Cardiovascular Business
AI Model Dramatically Enhances Severe Heart Attack Detection via ECGs
Queen of Hearts AI model outperforms standard care in detecting severe heart attacks from ECGs.