Diagnostics

Princeton researchers have developed a machine-learning method that could reduce the number of tests and improve the timing of critical treatments for intensive care unit patients.

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 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.

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.

A television series led by actor Ted Danson will showcase how a company is using various technologies, including AI, to help treat type 2 diabetes in India.

Cardiologs co-founder and CEO Yann Fleureau was named the European Innovator of the Year by MIT Technology Review, which also included the French native on its list of the top 35 European innovators under the age of 35.

The FDA is speeding up the review process for new software that uses AI to help radiologists diagnose chronic thromboembolic pulmonary hypertension (CTEPH), pharmaceutical company Bayer announced Dec. 3.

A Stanford University research team used machine learning to quickly and accurately diagnose autism in children through short home videos, according to a research article published in PLOS Medicine.

A deep-learning algorithm was significantly faster and just as accurate as most radiologists in analyzing chest X-rays for several diseases, according to a study led by Stanford University researchers.