Hot topic: Top 10 DIAGNOSTICS stories of the past 30 days

The tools could be used by primary care providers to head off adverse respiratory events and suboptimal healthcare utilization. 

An AI application that interprets MRI scans of the brain for signs or confirmation of injury has received 510(k) clearance from the FDA.

The idea is to head off serious gathering threats without getting thrown off the scent by strains unlikely to proliferate.

AI melanoma detectors that equaled or bettered dermatologists in clinical trials have stumbled on the way to the real world of patient care. 

Researchers have found that some AI models do better, on average, than expert psychiatrists at the difficult task.

The FDA has cleared UK-based Ultromics to sell an AI-powered tool for diagnosing coronary artery disease (CAD) on echocardiograms.

Gastroenterologists need not fear being replaced by machines—and patients don’t have to worry about robot colonoscopists.

Detecting diabetic retinopathy on eyeball imaging has been touted as one of medical AI’s most promising applications, as “the machine” has repeatedly equaled or bested humans at the task.

Researchers have used deep learning software to accurately detect age-related cognitive impairment using only photos of patients’ faces.

Academic experts in disaster response have developed an AI-based simulation model that accurately predicts ebbs and flows in traffic at drive-through vaccination stations.