When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Atrial fibrillation is one of the most common kinds of arrhythmia, causing the heart not to contract properly in order to ...

A multimodal sleep foundation model based on polysomnography data can predict the risk for multiple conditions.

Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The ...

Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...

Smart health refers to the integration of cutting-edge technologies into healthcare systems to improve patient care and apply intelligent clinical decision-making. The study investigates how ...

Artificial intelligence can use smartwatch data to detect heart disease, a new study says. AI fed heart sensor data from an Apple Watch accurately detected heart problems like weakened pumping ability ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

Introduction: Cardiovascular health is increasingly at risk due to modern lifestyle factors such as obesity, smoking, stress, hypertension, and sedentary behavior. Post-pandemic health practices and ...