Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

This AI system identifies clinically significant valvular heart disease from stethoscope recordings, achieving near-clinical ...

Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

Can you design a mechanism that will trace out the shape of a heart? How about the shape of a moon, or a star? Mechanism ...

Since arriving at Yale School of Medicine in 2019 as an internal medicine resident, Evangelos Oikonomou, MD, DPhil—now an assistant professor of medicine (cardiovascular medicine)—has focused his ...

Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries using optical coherence tomography (OCT) images. Because these lipid-rich ...

Li and colleagues developed a deep-learning model to analyze EEG recordings and detect event-level EEG spikes. 2. The model achieved high accuracy and a low false-positive rate, with only 32% of human ...