Blockchain technology is already expected to have a major impact in the healthcare space, and the wearables sector could do with an injection of the technology, as well, writes Lucas Mearian for ComputerWorld.
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.
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 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.