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 Outperforms Radiologists in Predicting Lung Cancer Treatment Response
AI tools demonstrate higher accuracy than radiologists in predicting lung cancer treatment response from imaging studies.
•AI in Healthcare
Key Advances and Cautions in Healthcare AI for Imaging and Clinical Workflows
Healthcare AI is advancing rapidly with new tools enhancing efficiency and effectiveness, but integration challenges and bias mitigation remain crucial, especially in imaging.
•AuntMinnie
LLMs Demonstrate Strong Potential in Interventional Radiology Patient Education
DeepSeek-V3 and ChatGPT-4o excelled in accurately answering patient questions about interventional radiology procedures, suggesting LLMs' growing role in clinical communication.