Parkinson’s disease is diagnosable early with a basic eye exam and AI, according to researchers at the University of Florida.

The COVID crisis has given AI a chance to shine for medical researchers this year—and shine it has, judging by one prominent center’s experience.

When it comes to predicting an individual’s risk of suffering a heart attack or stroke over the next 10 years, machine learning models are no more consistent than traditional statistical techniques.

The novel coronavirus has shown a nasty penchant for targeting the kidneys, and physicians can’t always tell which patients will need dialysis until they do. By then it’s often too late to save a life.

The FDA has greenlit a European company’s AI software package designed to streamline workflow for radiologists reading prostate MRIs.

Low-back imaging and interventions are often named among healthcare’s iffiest expenses due to the hit-or-miss predictability of the outcomes.

Knowing that antibodies as well as viruses bind to certain proteins in certain ways, scientists have come up with a technique to watch both sickness-signaling materials stick to microscopic beads prepared for the purpose.

Nearly 90% of U.S. gastroenterologists are open to using AI for help performing high quality colonoscopies. And of these, 85% believe that computer-assisted polyp detection (CADe) stands to improve their endoscopic performance.

A supplier of healthcare software in the respiratory care space has received the FDA’s blessing to market deep learning elements newly added to an existing product.

The novel AI-aided app can run on both Apple and Android operating systems and only needs to be placed near the would-be sleeper—a familiar nightstand, shelf or end table will do—at bedtime.