In order for AI technology to be safely incorporated into diagnostic and clinical decision support (CDS) software, stakeholders must first address its effectiveness and provide additional evidence for its usefulness in the clinical setting, according to Duke researchers.
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.
AI applied to an electrocardiogram (EKG) test reliably detected asymptomatic left ventricular dysfunction (ALVD)—a precursor to heart failure—and predicted which patients were most at risk of developing the condition in the future, according to a Mayo Clinic study.
GE Healthcare and the Vanderbilt University Medical Center (VUMC) have partnered to develop diagnostic tools and AI-powered applications to create safer and more precise immunotherapy treatments for cancer patients.
An Atlanta research team has developed a smartphone app that can screen for anemia just by taking a picture of a person’s fingernails—paving the way for a new, noninvasive method to detect and diagnose the condition.