Caristo Diagnostics Gains FDA Clearance for AI Heart Attack Prevention Tool

Mar 11, 2025
Caristo Diagnostics has received FDA 510(k) clearance for its AI-powered CaRi-Plaque technology, designed to aid in the diagnosis of coronary artery disease by analyzing coronary plaque.

Caristo Diagnostics has received FDA 510(k) clearance for its CaRi-Plaque technology, an AI-assisted image analysis application aimed at diagnosing coronary artery disease (CAD) announced in a press release. The technology is designed to provide precision in detecting coronary plaque, assisting cardiologists and radiologists in analyzing the type, volume, and severity of plaque.

CaRi-Plaque supports non-invasive analysis of coronary anatomy and pathology from routine coronary computed tomography angiography (CCTA) scans. This allows healthcare professionals to determine the presence, extent, and severity of coronary plaques and luminal stenosis. The technology builds on Caristo's core CaRi-Heart technology, which has been shown to predict heart attacks up to a decade before they occur.

The FDA clearance marks a significant step for Caristo as it looks to commercialize its technology in the U.S., targeting hospitals, health systems, and longevity clinics. The company aims to transform cardiac care by enabling earlier detection and personalized prevention of heart disease, potentially saving lives by identifying high-risk patients sooner.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.