AI Research to Feature at ACC.26

Viz.ai Studies Show AI Speeds Heart Disease Detection

New research accepted for ACC.26 highlights how AI-powered ECG screening identifies undiagnosed cardiac conditions.

By Avantgarde News Desk··1 min read
A digital electrocardiogram display showing a heart rhythm with artificial intelligence diagnostic highlights in a clean medical setting.

A digital electrocardiogram display showing a heart rhythm with artificial intelligence diagnostic highlights in a clean medical setting.

Photo: Avantgarde News

Viz.ai announced that three new studies featuring its Cardio Suite technology have been accepted for a major medical conference [1]. These findings will be presented at the American College of Cardiology's Annual Scientific Session, known as ACC.26 [2]. The research demonstrates that AI-enabled ECG screening can effectively identify patients with undiagnosed heart disease [3]. One primary focus of the research is the earlier detection of hypertrophic cardiomyopathy [1]. The studies also highlight how the technology helps medical teams re-engage patients who were previously lost to follow-up care [2]. By automating the screening process, the Cardio Suite speeds up the time between initial detection and necessary treatment [3].

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Avantgarde News Desk covers ai research to feature at acc.26 and editorial analysis for Avantgarde News.