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Deep learning models had high sensitivity in screening for pulmonary hypertension and congenital heart disease–associated PAH.
An AI algorithm could help to predict which patients might develop significant heart problems years in advance, just based on EKG readings.
An AI algorithm could help to predict which patients might develop significant heart problems years in advance, just based on ECG readings.
This is a well-written study that presents a solid genetic screen to identify regulators of adipose morphology and remodeling in zebrafish. The authors generated a rigorous screening platform based on ...
The Canadian Press on MSN6d
McGill University team develops AI that can detect infection before symptoms appearResearchers at McGill University say they developed an artificial intelligence platform that can predict when someone is ...
This new AI heart disease detector can’t be beat. Structural heart disease (SHD) refers to defects in the heart’s valves, wall or chambers that are present at birth or develop over time. These ...
In the evolving world of long-term care and senior living, memory care sits at the emotional and operational heart of the industry. As providers seek to ...
"at-above-post addthis_tool" data-url=" UK retailers under siege, Gamma’s security experts explain how they’re working with ...
Fashion miracles happen daily at Buffalo Exchange in San Francisco, where savvy shoppers transform twenty-seven dollars into entire outfits that look like they cost ten times as much. This beloved ...
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News-Medical.Net on MSNAI-powered ECG model outperforms doctors in detecting hidden heart diseaseResearchers developed an AI-powered ECG model, EchoNext, that detects structural heart disease with high accuracy across diverse hospitals and patient populations. The model outperformed cardiologists ...
A team at Florida International University is using digital stethoscopes and machine learning to analyze heartbeats, similar ...
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