Teleophthalmology incorporating AI has a bright future in advanced vision care, and the potential indications branch out in many directions from screening for diabetic retinopathy. 

Going head-to-head against a small group of clinicians in 50 care episodes, an AI-based smartphone app has equaled or bested the humans at triaging patients to the most appropriate site of care.

Researchers have used deep learning to assess three key biomarkers of existing breast cancers on routinely acquired histology slides. In the process, the team has advanced AI-based biomarker analysis for managing a range of cancers.

Researchers have piloted a deep learning algorithm that can recognize visual cues of sickness, also known as “clinical gestalt,” in facial photos.

When a black-box algorithm guides a physician’s diagnostic or therapeutic judgments, its intrinsic opaqueness can confound subsequent steps toward clinical safety and efficacy—and that’s just for starters. 

An AI tool for managing pediatric asthma shaved 7.8 minutes from the time pediatricians spent dealing with electronic health records in a randomized clinical trial conducted at the Mayo Clinic. 

Deep learning can accurately distinguish dementia from mild cognitive impairment by looking at pictures of analog clocks as drawn by individuals thought to be affected.

AI-aimed blasting of kidney stones from outside the body hit intended targets at a 75% clip in a proof-of-concept study, pulverizing conventional lithotripsy, which missed the mark almost half the time.