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.

The field of AI is currently at the center of a far-reaching diversity crisis, according to a report issued this April.

Canadian health tech company DIAGNOS announced April 16 it would be supplying the AI for Saudi Arabia’s first hypertensive retinopathy screening clinic.

More than ever, Americans are avoiding the expense of doctors' visits and turning instead to the internet, where online symptom checkers (OSCs) like WebMD attempt—oftentimes incorrectly—to diagnose patients based on a series of questions.

As a nationwide opioid crisis continues to consume the U.S., one pharmacist suggests we take advantage of recent advances in health tech—namely AI—to fight rising death rates and falling life expectancies.

Researchers from the National Institutes of Health, Radiological Society of North America, American College of Radiology and Academy for Radiology and Biomedical Imaging Research have published what they’re calling a “roadmap for AI” in medical imaging—a framework for accelerating foundational research in the field.

Researchers from the University of California, Los Angeles, have developed an artificial neural network capable of identifying and diagnosing prostate cancer almost as well as radiologists with a decade of experience.

Google has opened its first African-based AI lab in Accra, Ghana, CNN reported April 15.