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.
A deep neural network crafted by research specialists at Dartmouth’s Norris Cotton Cancer Center identified different types of lung adenocarcinoma as well as practicing pathologists in a recent study, according to work published March 4 in Scientific Reports.
A 14-week health technology “sprint” sponsored by the U.S. Census Bureau and coordinated by HHS has produced an AI tool that developers claim could revolutionize the way researchers match cancer patients with clinical trials.
Canadian researchers working with Toronto General Hospital-University Health Network have developed a natural language processing (NLP) approach to predicting downstream radiology resource utilization, according to work published in the Journal of the American College of Radiology March 2.
The FDA on March 7 granted Breakthrough Device designation to Paige.AI, a year-old New York startup that’s using AI to help diagnose and treat cancer, the company announced.
The rapid advancement of AI technologies has left the medical community in a state of flux, unsure of where to direct their efforts to deliver the best, most effective care. But to one dean the answer is simple: prioritize patients.
A collaboration between Boston-based pharmaceutical startup Berg and French company Sanofi could one day result in more precise flu vaccines and even personalized shots tailored to individuals’ unique immune systems, Time reported March 5.
Though the idea of artificial intelligence displacing radiologists worries more than half of surveyed medical students interested in an imaging career, radiology programs have seen a spike in applications in recent years, according to work published in Academic Radiology.
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.
