Abstract: Heart disease remains one of the leading causes of death worldwide. Effective management and prevention heavily depend on early detection and accurate prediction. However, traditional ...

This list is continuously updated. Pull requests welcome — please follow CONTRIBUTING.md. A curated list of 500+ AI/ML/DL/CV/NLP projects and resources (tutorials, repos, datasets, papers-with-code).

“I’ll worry about my heart health when I’m older.” That may be too late, doctors warn. While the average age for being diagnosed with heart disease in the United States is typically in the mid-60s for ...

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 ...

1 Department of Computer Science, National University of Modern Languages (NUML), Islamabad, Pakistan 2 Department of AI and SW, Gachon University, Seongnam, Republic of Korea Cardiovascular diseases ...

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 ...

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 ...

A deep learning algorithm that only uses data from mammogram images along with age may predict major cardiac events as accurately as traditional cardiovascular risk calculators, new data suggest. The ...

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...

Abstract: Heart disease continues to be one of the global death drivers, pinpointing the need of detection at an early stage alongside timely and precise diagnosis. In the context of clinical ...