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.
Healthcare, senior care and mental health diagnosis and treatment are among several industries expected to be “revolutionized” by AI, according to a report by Forbes.
A professor at Virginia Tech is gearing up for a four-year study that will use machine-learning techniques to help physicians decrease the number of deaths from traumatic brain injuries (TBIs).
A University of Vermont-led research team combined wearable and AI technology to quickly and accurately detect internalizing disorders, like anxiety and depression, in young children, according to a study published in PLOS One.
Scientists at the University of Surrey in Guildford, England, developed a tool that uses machine learning to identify and treat urinary tract infections at early stages in dementia patients, according to a study published in PLOS One.
The radiology department at the Antwerp University Hospital in Belgium has incorporated an Aidoc tool that uses AI to help radiologists make faster diagnoses from CT scans, the university announced Wednesday, Jan. 16.
IBM is planning to use AI and machine learning to better understand Parkinson’s disease after being awarded a grant from the Michael J. Fox Foundation for Parkinson’s Research.
Duke researchers have been awarded a grant worth more than $196,000 to address the need of explainability features in AI-based, clinical decision support software versus the need to protect trade secrets for the technology—an issue researchers say has become an emerging problem in AI-enabled healthcare delivery.
