Why do some people feel more pain than others? Using fMRI, researchers at Wake Forest School of Medicine in Winston-Salem, North Carolina, found the answer may lie in mindfulness, according to recent research published in PAIN.

The creators of a fully automated medical image analysis program to detect breast tumors was inspired by the classic video game Tetris. It is also almost twice as fast at finding lesions as existing techniques and just as accurate.

An automated medical image analysis program developed by researchers—deriving its functionality from Tetris, the widely known puzzle-piece video game—can identify breast cancer twice as quickly as existing methods, according to a Sept. 6 release from the University of Adelaide in Australia.  

A deep learning system (DLS) designed to assess liver fibrosis using CT images was found to be highly accurate, according to a new study published in Radiology.

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.