Using deep learning to tease out factors indicative of age-related variability in the way toddlers gaze at visual stimuli, researchers at the University of Minnesota have shown that the technology can accurately distinguish 18-month-olds from 30-month-olds.

A deep-learning algorithm trained entirely on open-source images has outperformed 136 of 157 dermatologists at classifying melanoma, according to a study running in the May edition of the European Journal of Cancer.

Working with SRI International, the California tech lab that gave the world Siri, mental-health specialists at NYU Langone have developed an AI-based tool that uses voice analysis to diagnose posttraumatic stress disorder—potentially via telemedicine.

The FDA granted GE Healthcare’s Deep Learning Image Reconstruction (DLIR) platform 501(k) clearance April 18, marking the first time the agency has approved a deep learning-based CT image reconstruction technology.

Both low- and high-income women experience significant delays in breast cancer diagnosis and treatment when they’re switched from affordable to high-deductible health plans (HDHPs), according to a study published in Health Affairs.

Months-old health technology startup Theator closed a $3 million seed round April 18, providing the company with the cash flow it needs to power its AI-enabled surgical performance platform.

The Department of Energy (DOE) announced April 17 it would be extending $20 million in funding to research projects involving AI and machine learning.

A Harvard Medical school research fellow has used deep learning to predict the structure of any given protein based solely on its amino acid sequence.