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 initial set of studies went up this week at medRxiv, a new and somewhat controversial online outlet hosting preprinted clinical research reports—they haven’t yet been subject to peer review, much less journal editing—and the batch includes one dealing with AI.
Eyesight researchers have developed a machine-learning architecture whose best model, an ensemble classifier, achieved 93.4% accuracy in separating good candidates for corneal refractive surgery from patients likely to have post-surgery complications or poor outcomes.
Following total hip replacement, patients are well-served with AI-powered biofeedback that helps them rehab safely and effectively at home with occasional monitoring by a remote physical therapist.
A junior doctor in the U.K. is driving the development of a smartphone app that lets healthcare providers jettison their legacy pagers to communicate just as quickly but much more thoroughly and productively.
More adults are utilizing voice assistant devices powered by AI to help with their medication management, but not all devices are the same. According to new research published in Nature, Google Assistant outpaces its peers, including Amazon’s Alexa and Apple’s Siri voice assistants.
AI in healthcare and wearables are buzzy words in the sector, but not all patients are on board with injecting biometric monitoring devices (BMDs) into their daily lives. And that non-acceptance could prove problematic for the future of these devices and other AI-based tools, according to a recent study from French researchers with Université Paris Descartes.
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.
