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.
An AI-powered intervention supported by Google Glass reinforced facial engagement and emotion recognition in a study of children with autism spectrum disorder (ASD), suggesting the digital approach might be a viable way to support those patients without spending five figures on conventional therapy.
Smart speakers—devices like the Amazon Echo and Google Home—are reframing the way physicians work in the operating room, allowing for hands-free communication that could cut time and risk, according to research presented at the Society of Interventional Radiology’s 2019 Annual Scientific Meeting in Austin, Texas.
A team of researchers in San Francisco have developed an EHR-driven deep learning model that’s able to accurately predict the prognosis of patients with rheumatoid arthritis (RA), according to a study published in JAMA Network Open.
Pittsburgh-based startup SpIntellx has been awarded a $225,000 research grant by the National Science Foundation to further develop its HistoMapr-Breast system—an AI that images whole-slide samples and acts as a computational guide for pathologists.
Cleveland Clinic this month announced it’s launching a Center for Clinical Artificial Intelligence (CCAI) dedicated to the development and application of AI in medicine.
French pharmaceutical startup Pharnext is leveraging AI and pleiotropy to develop new drug combinations and repurpose existing therapies, Fortune reported March 19.
A multitude of recent studies and success stories suggest artificial intelligence is on its way to topping doctors in accurately diagnosing diseases from asthma to breast cancer—seemingly a step in the right direction. But does the hype surrounding AI’s victories eclipse its shortcomings?
Artificial intelligence shows great promise in recognizing patterns, liberating physicians from keyboards and predicting outcomes, but where does it fall short? Medical guru Eric Topol does a deep dive into those topics and many more in his new book, Deep 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.
