Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
An AI-based retinal imaging model outperforms standard cardiovascular risk calculators in patients with hypertensive retinopathy.
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted, severe fibrosis and cirrhosis can be prevented. While liver biopsies, the ...
Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its ...
The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...
1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
1 San Juan Bautista School of Medicine, Caguas, PR, USA. 2 Independent Researcher, Monmouth County, NJ, USA. There are two types of hemiplegic migraines: sporadic hemiplegic migraine (SHM) and ...
LAS VEGAS—The American Heart Association is launching an AI Assessment Lab in partnership with Dandelion Health to validate predictive AI for cardiovascular conditions and related diseases. The group ...
Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...
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