A model using artificial intelligence (AI) can better predict the risk of mortality in patients with coronary artery disease (CAD), compared to models designed by medical experts, according to a new study published in PLOS One.

A machine learning model developed by scientists at the Francis Crick Institute in London can more accurately predict risk of death in patients with heart disease than leading models designed by medical experts, according to a study published in PLOS One.

The NYU School of Medicine’s department of radiology and Facebook recently announced a new collaborative research project focused on using artificial intelligence (AI) to make MRI scans up to 10 times faster. While some worry about AI’s impact in medical imaging, the potential for life-saving developments in medicine cannot be ignored.

A team of Singapore-based researchers has created an artificial intelligence (AI) platform capable of calculating a patient’s optimal prostate cancer drug dosage that ultimately stopped the disease’s progression in a patient, according to a study published in Advanced Therapeutics.

The adoption of artificial intelligence (AI) and deep learning in healthcare is becoming increasingly popular and it's being propelled by seven distinct factors, according to one of two partnering editorials published online in JAMA.

Total revenue for artificial intelligence (AI) in the healthcare market is expected to surpass $34 billion by 2025, according to report by Tractica.

Researchers from IBM recently proposed a new safeguard designed to increase transparency and trust in artificial intelligence (AI), according to research published on the company’s website.

Medical imaging may reach a higher dimension with the development of a compact hyperspectral imaging system able to measure an object’s shape and light reflection properties through so-called "5D," high-speed imaging.