Using brain MRI and a deep learning network, researchers have achieved 97% accuracy at classifying a gene mutation indicative of growth in localized gliomas.

Cleveland Clinic and the analytics software vendor SAS have jointly developed predictive models to help hospitals prepare for three COVID-19 scenarios—worst case, best case and most likely.

Microsoft has debuted a new AI solution that could help slow the spread of the new coronavirus.

A deep-learning algorithm has accurately measured 26 pairs of uneven leg lengths on children’s x-rays at a rate 96 times faster than that recorded by an experienced, subspecialty-trained pediatric radiologist using manual means.

Unlearn.AI, a San Francisco-based AI technology company, has raised $12 million in Series A financing.

The feat may offer a way for physicians to watch for signs of deterioration in patients who have too mild a case of the disease to warrant hospitalization but may need quick response if the condition worsens.

An MIT AI reporter considers the COVID-countering volunteerism of, among others, the founder of a machine-learning startup. He entered the fray when he saw that his parents weren’t getting it about the need to practice social distancing.

For finding microcalcifications in screening exams, full-field digital mammography now has little to recommend it over reduced-radiation 2D synthetic mammography.