BACKGROUND: Previous studies showed that the Pooled Cohort Equations substantially overestimate atherosclerotic ...
Environmental exposures increase risk for cardiometabolic disease, but improved predictive tools combining satellite imaging, ...
UC Berkeley researchers trained AI to detect hidden warning signs of sudden cardiac death in routine ECG tests, according to ...
Abstract: Heart disease remains one of the leading causes of death worldwide, making early diagnosis and intervention essential. This study explores the application of machine learning algorithms to ...
Abstract: Medical data analysis is increasingly used to plan, improve research techniques, and explain diagnoses. The allocation of medical resources is based on the prevalence of specific pathologies ...
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