Medical journals accepting reprint fees are much more likely to publish articles written by authors who received industry payments.

Whatever name it takes when it goes down in history, the present “information age” will be inextricably linked to AI. It’s been so since around 2008, although popular perception needed time to catch up with the depth of the development.

An AI system trained to supply clinical decision support in the U.S. has proven adaptable for physicians treating patients with lung cancer on the other side of the globe.

Asked to identify which of six fictional persons is most likely to be a terrorist, 85% of 1,500 participants in a psychology experiment selected one of the least likely suspects. And they did so specifically because they’d seen an AI robot make the ridiculous choice first.

Healthcare AI watchers would be unwise to overlook dermatology, as it is a medical specialty “at the precipice of an artificial intelligence revolution.”

As researchers have turned to AI for battling COVID-19, raising hopes and making headlines, the shortcomings of the studies have drawn the ire of numerous statistics experts.

If it pans out at real-world dinner tables, a freshly cooked-up AI system will soon be counting calories and sniffing out macronutrients just by gobbling up images of meals.

Researchers have developed a new AI model that could be a game-changer in the treatment of blindness and vision loss.

A medical student in the U.K. is cautioning proponents of AI in healthcare to beware the technology’s possible adverse effects on medical education.

Why does COVID-19 severely sicken some people and barely bother others who catch it? The C-suite at Johns Hopkins is hoping technology can help unravel this mystery.