A machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous recognized categorization methods.

Researchers may be able to predict cardiovascular disease -- such as arterial fibrillation and heart failure -- in patients by using artificial intelligence (AI) to examine the genes in their DNA ...

To get an inside look at the heart, cardiologists often use electrocardiograms (ECGs) to trace its electrical activity and magnetic resonance images (MRIs) to map its structure. Because the two ...

New research uses machine learning to mine data from standard lung-cancer scans and predict patients most likely to have heart damage from radiation treatment later in life.

Similarly, machine learning is used in stock market predictions, where models analyze past trading data to forecast future price movements.

Software developed using machine learning can be used to predict someone’s risk of heart disease in less than a minute by analyzing the veins and arteries in their eye.

Wearable sensor data combined with machine learning predicts fall risk in Parkinson's patients, enhancing preventive care and clinical outcomes over five years.

Researchers are applying artificial intelligence and other techniques in the quest to forecast quakes in time to help people find safety.