A new tool for mobile devices can diagnose stroke as accurately as an emergency medicine specialist in just minutes, enabling patients to get brain-saving therapies in time for maximum benefit. According to researchers from Pennsylvania State University and Houston Methodist Hospital, the artificial intelligence (AI)-based tool could counterbalance physician biases, reducing both overuse of CT scans and underdiagnosis of mild and moderate stroke.

Researchers at Ontario’s University of Waterloo have developed a palm-sized device that uses radio waves to read blood glucose levels, as well as artificial intelligence (AI) software to get near instantaneous results.

Aidoc Inc., a provider of artificial intelligence (AI) solutions in radiology, has won U.S. FDA clearance to market the first software solution for flagging and triaging incidental pulmonary embolism (PE). The AI technology, which includes triaging and notification algorithms, is an “always on” technology that analyzes chest CT scans in real time and alerts the radiologist to any potentially abnormal findings – possibly speeding up diagnosis by hours.

The Chinatrials roundtable went virtual this year and drew clinical trial experts to discuss state-of-the-art clinical trial design strategies, which are increasingly important in a more competitive clinical landscape.