Also called personalized medicine, this evolving field makes use of an individual’s genes, lifestyle, environment and other factors to identify unique disease risks and guide treatment decision-making.
Cynthia Rudin, PhD, is a highly regarded computer scientist who’s been eyeing the advance of artificial intelligence into society with equal parts enthusiasm and concern.
By now it’s a difficult-to-dispute likelihood: AI won’t replace doctors making diagnoses, but doctors who use AI will displace doctors who don’t use AI. The hypothesis gets a fresh airing out from the vantage point of the general public.
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.
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.
U.S. health systems are increasingly leveraging digital health to conduct their operations, but how health systems are using digital health in their strategies can vary widely.
When human counselors are unavailable to provide work-based wellness coaching, robots can substitute—as long as the workers are comfortable with emerging technologies and the machines aren’t overly humanlike.
A vendor that supplies EHR software to public health agencies is partnering with a health-tech startup in the cloud-communications space to equip state and local governments for managing their response to the COVID-19 crisis.
