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.
Masimo's MightySat Medical is the first FDA-cleared pulse oximeter available to consumers without a prescription, which could disrupt the market for the notoriously inaccurate at-home devices.
MediView’s technologies utilize AR to provide clinicians with 3D “X-ray vision” guidance during minimally invasive procedures and surgeries, while also offering remote collaboration.
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).
Walgreens Boots Alliance (WBA) has teamed up with technology company Microsoft to develop new healthcare delivery models, the companies announced Jan. 15.
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.
AI may be better at spotting cervical cancer and precancer after a study found a deep learning algorithm was more accurate at recognizing the disease than human doctors.
The American College of Cardiology has sent a letter to HHS Secretary Robert F. Kennedy Jr. that outlines some of the organization’s central priorities and concerns.
If the Trump administration continues taking a laissez-faire stance toward AI—including AI used in healthcare—why not let the states go it alone on regulating the technology?
