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.

Researchers at the University of Washington have developed a method for streamlining electronic medical record (EMR) data entry using convolutional neural networks (CNNs) and transfer learning, according to a paper published April 12 in Artificial Intelligence in Medicine.

An AI agent developed at the Georgia Institute of Technology automatically generates natural language explanations in real-time to explain the motivations behind its actions, ideally allowing those who aren’t experts in the field to interact with AI tools more confidently.

Some 33.3% of cancer patients add their own alternative treatment regimen to whatever conventional cancer care they’re receiving—and almost 30% of those don’t tell their doctors they’re doing so.