Atrial fibrillation (AF) is the most common sustained arrhythmia and a leading cause of ischemic stroke. Existing risk scores, such as CHA₂DS₂-VASc, offer limited predictive accuracy and fail to ...

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...

Artificial intelligence and machine learning are increasingly applied in civil engineering to predict material performance and optimize mix design. This study compares three ensemble learning ...

A novel electronic health record-based prediction model successfully identified patients who were at the highest risk of developing type 2 diabetes up to 10 years later. Researchers presented the ...

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...

Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...

A subscription technology platform with over 100,000 users was losing customers each month despite having access to ...

Crypto markets generate more usable data than almost any other financial sector. Prices move at all hours, blockchain activity is visible as ...

By a News Reporter-Staff News Editor at Insurance Daily News-- Current study results on artificial intelligence have been published. According to news reporting out of Youngstown, Ohio, by NewsRx ...

Lumo leverages advanced machine learning to reduce calibration time, and flag low-confidence response factor predictions.

A machine learning study of 4,776 women found AI can predict physical, emotional, and social outcomes after breast cancer ...