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.
Combing social networks and pharmaceutical databases using heterogeneous network mining allowed a team from Drexel University to better identify therapies suitable for drug repositioning, according to work published in Artificial Intelligence in Medicine.
A free web tool known as “Chester the AI Radiology Assistant” can assess a person’s chest X-rays online within seconds, ensuring patients’ private medical data remains secure while predicting their likelihood of having 14 diseases.
Machine learning approaches including deep learning and random forest greatly improved a University of Nottingham team’s ability to predict premature death in a study of half a million U.K. Biobank participants, according to research published in PLOS One.
The Mount Sinai Health System and Germany’s Hasso Plattner Institute (HPI) announced March 29 they’re collaborating to create the joint Hasso Plattner Institute for Digital Health at Mount Sinai, an affiliation the institutions say will combine medicine and tech to deliver powerful digital health tools.
A trio of scientists who laid the groundwork for AI research in the '80s have been named the winners of the 2018 Association for Computing Machinery’s A.M. Turing Award, commonly referred to as the “Nobel Prize of Computing.”
An AI model developed by a startup in Kentucky is analyzing insurance claims databases to flag expectant mothers at the greatest risk of giving birth to a preterm baby, Wired reported March 26.
A machine learning model developed by scientists at Google successfully documented and charted disease symptoms from patient-physician conversations in early tests, but the tech still has a long way to go, according to research published in JAMA Internal Medicine March 25.
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.
![Large peridevice leaks after left atrial appendage occlusion (LAAO) are incredibly rare and not associated with a greater risk of adverse outcomes, according to new research published in JACC: Clinical Electrophysiology.[1] Smaller residual links are more common, however, and associated with a risk of thromboembolic and bleeding events.](/sites/default/files/styles/240x220/public/2018-08/olderpatient-doctor.jpg.webp?itok=Yeiw23eu)