Researchers have used AI technology to predict a patient’s chance of death, heart attack or stroke better than human doctors, sharing their findings in a new study in Circulation.

AI models can be trained to predict outcomes in meningioma patients, according to new research published in npj Digital Medicine. The study’s authors even developed a free smartphone app so others can explore their work.

AI promises to make a titanic impact on radiology, but most of the attention tends to focus on its ability to identify important findings in medical images. What about the technology’s non-interpretive qualities?

Researchers have found they can use microbe samples—and a little help from machine learning techniques—to predict someone’s age.

XRHealth has announced the launch of a new telehealth clinic that allows patients to receive care at home via virtual reality (VR) technology.

Machine learning-based algorithms can predict how patients will respond to antidepressants, according to new research published in Nature Biotechnology. The secret, the authors revealed, is electroencephalography (EEG) data.

Olaris has received a new grant from The Michael J. Fox Foundation for Parkinson’s Research (MJFF).

Deep learning-based AI models can improve the segmentation of white matter in 18F-FDG PET/CT images, according to a new study published in the Journal of Digital Imaging. This helps radiologists with the early diagnosis of neurodegenerative disease.