We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




AI-Enhanced Technology Predicts Fatal and Non-Fatal Cardiac Events from Routine CCTA

By MedImaging International staff writers
Posted on 20 Nov 2023
Print article
Image: The CaRi-Heart Analysis imaging solution applies AI to standard CCTA images (Photo courtesy of Caristo Diagnostics)
Image: The CaRi-Heart Analysis imaging solution applies AI to standard CCTA images (Photo courtesy of Caristo Diagnostics)

Annually, over 8 million people in the United States seek emergency medical attention due to chest pain. Typically, these patients undergo coronary computed tomography angiography (CCTA) to check for coronary artery disease (CAD), which is caused by the narrowing or obstruction of the arteries supplying blood to the heart. However, significant narrowing is not always detected during CCTA in many of these cases. Despite this, a considerable number of these individuals suffer fatal heart attacks in subsequent years due to minor, yet inflamed plaques that burst. Now, an innovative artificial intelligence (AI) technology has been developed that can predict both fatal and non-fatal cardiac events. This prediction is independent of standard clinical risk assessments and CCTA results, and it has the potential to revolutionize the way CAD is treated by transforming the risk evaluation and management of patients who undergo routine CCTA.

The CaRi-Heart technology from Caristo Diagnostics (Oxford, UK) is an AI-powered imaging tool that assesses coronary inflammation and characterizes plaque, aiding clinicians in better decision-making for patient care. This cloud-based software as a service (SaaS) medical device utilizes AI to process standard CCTA images. It introduces a unique imaging biomarker, the Fat Attenuation Index (FAI), to measure the extent of coronary inflammation and provides detailed analysis of plaque characteristics that are often linked with heart attacks.

The ORFAN study, the largest of its kind aimed at evaluating the effectiveness of CT imaging biomarkers in predicting long-term cardiovascular outcomes, demonstrated that coronary inflammation measured by Caristo's CaRi-Heart FAI-Score could foresee fatal and non-fatal cardiac events. These predictions were made independently of routine risk factors and standard CCTA interpretations. In this study, CaRi-Heart Risk functioned as the "AI-Risk" model, which reclassified about 30% of patients into higher risk categories and around 10% into lower risk categories. When these results were reviewed by clinicians, it led to changes in patient management in nearly half of the cases, primarily targeting previously unrecognized coronary inflammation.

"We are excited to see these exceptional clinical results enabled by our CaRi-Heart technology," said Frank Cheng, CEO of Caristo Diagnostics. "To eradicate heart disease as the number one cause of death globally, it is important for us to realize that people may have heart attack soon after a 'normal' CCTA test showing zero calcium score, no plaque, and no stenosis. The CaRi-Heart technology has the potential to save millions of lives worldwide by improving risk stratification based on CCTA-based coronary inflammation measurement. We look forward to introducing our technology across geographies to transform cardiac care and make heart attacks a preventable reality worldwide."

Related Links:
Caristo Diagnostics 

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Silver Member
Mobile X-Ray Barrier
Lead Acrylic Mobile X-Ray Barriers
New
Illuminator
Trimline Basic
Computed Tomography (CT) Scanner
Aquilion Serve SP

Print article

Channels

Ultrasound

view channel
Image: The powerful machine learning algorithm can “interpret” echocardiogram images and assess key findings (Photo courtesy of 123RF)

Largest Model Trained On Echocardiography Images Assesses Heart Structure and Function

Foundation models represent an exciting frontier in generative artificial intelligence (AI), yet many lack the specialized medical data needed to make them applicable in healthcare settings.... Read more

Nuclear Medicine

view channel
Image: The multi-spectral optoacoustic tomography (MSOT) machine generates images of biological tissues (Photo courtesy of University of Missouri)

New Imaging Technique Monitors Inflammation Disorders without Radiation Exposure

Imaging inflammation using traditional radiological techniques presents significant challenges, including radiation exposure, poor image quality, high costs, and invasive procedures. Now, new contrast... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.