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
AI Model Predicts Dosimetry for Lu-177 PSMA Therapy Using PET/CT
A machine learning PET/CT model shows promise for predicting radiation dose prior to Lu-177 PSMA therapy in prostate cancer patients.
•Radiology Business
DeepHealth's Prostate AI Gains FDA Clearance for MRI Workflows
DeepHealth, a RadNet subsidiary, received FDA clearance for its AI solution to assist prostate cancer detection and MRI workflow.
•AuntMinnie
Human-AI Collaboration Achieves 99.2% Sensitivity for PE Detection in CTPA
A large study confirms that combining radiologists with FDA-cleared AI significantly improves pulmonary embolism detection on CTPA.