Researchers at the Mount Sinai Kravis Children's Heart Center led a multicenter effort to develop and validate an artificial intelligence (AI) tool that can analyze a standard electrocardiogram (ECG) ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
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Big data and human height: Scientists develop algorithm to boost biobank data retrieval and analysis
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead electrocardiogram (ECG) data, has been developed. This ...
Viz.ai, the leader in AI-powered disease detection and intelligent care coordination, today announced new clinical data demonstrating how Viz HCM enables faster, accurate detection of hypertrophic ...
Background: Pulmonary hypertension (PH) is a life-threatening disease affecting up to 1% of the global population. Diagnosis can be challenging and is often delayed due to the need for advanced ...
The change is part of a deal to bring TikTok under U.S. ownership to avert a looming ban. By Emmett Lindner and Lauren Hirsch The software giant Oracle will oversee the security of Americans’ data and ...
ABSTRACT: This paper presents a novel hybrid framework that integrates Zero-Phase filtering (ZP) with adaptive Least Mean Squares (LMS) filtering to enhance noise reduction in signal generation and ...
Outflow tract ventricular arrhythmias (OT-VAs) are the most common type of idiopathic VAs.1 Despite their often benign clinical presentation, patients may experience symptoms that may severely impact ...
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