A new big data-based predictive model developed in Hong Kong enables more dynamic monitoring of six common cardiovascular ...
Atrial fibrillation (AFib) is the most common cardiac arrhythmia worldwide and a major contributor to heart failure (HF), ...
Predictive risk scores created using administrative claims and publicly available social determinants of health data strongly ...
A made-in-Calgary 4D heart model is transforming treatment for heart failure patients having a specialized pacemaker inserted ...
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A machine learning model may enable liver cancer risk prediction with routine clinical information
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
Morning Overview on MSN
AI model flags advanced heart failure earlier using routine ultrasound data
Researchers have trained an artificial intelligence model to extract warning signs of advanced heart failure from routine ...
Researchers confirmed a four-biomarker model is more informative at younger vs older ages, with slight sex differences.
Applying artificial intelligence techniques to cardiac ultrasound data may make it easier to identify patients with advanced heart failure, a new study has found. The study—led by investigators at ...
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