Since news first broke of the coronavirus outbreak, China’s government has received a massive number of donations from the public and various healthcare organizations—but the distribution of those donations has been disorganized.

Chun Yuan, PhD, has received a two-year, $200,000 grant from the American Heart Association’s Institute for Precision Cardiovascular Medicine for his work on using AI to detect blocked arteries and cardiovascular risk.

Researchers have developed a multitask deep learning model that can effectively assess signs of hip osteoarthritis in x-rays, sharing their findings in Radiology.

A new virtual reality (VR) experience lets users see the world through the eyes of someone with Alzheimer’s disease.

Blockchain technology can play a key role in the management of medical records, according to a new commentary published in npj Digital Medicine.

The rise of AI in healthcare—especially radiology—has launched countless conversations about ethics, bias and the difference between “right” and “wrong.”

Voice assistant systems such as Amazon Alexa and Google Home may soon be able to identify signs of cognitive impairment.

Some operators answering calls to 000, Australia’s national emergency number, will soon have AI technology helping them identify signs of cardiac arrest over the phone.

Radiology researchers are turning to deep learning (DL) technology to make NLP even more effective—and it’s a growing trend that shows no signs of slowing down.  

physIQ, an Indiana-based healthcare company using AI to track the physiological data of patients, has received a $500,000 investment from Purdue University’s Purdue Research Foundation.