Diagnostics

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.

A deep-learning system (DLS) designed by Google researchers outperformed several top general pathologists when grading prostate cancer on a standard grade, according to newly-published research.  

An AI-based network outperformed several dermatologists while analyzing skin lesions for cancer, suggesting the technology could be a helpful tool for physicians regardless of their experience, according to a recent study.

Saint Thomas Health, a Tennessee-based health system, is the first in the state to use an AI-based software system that helps clinicians better diagnose and treat coronary artery disease, according to an online report by WGNS News Radio.

Weeks after Eko announced plans to develop machine-learning technology to help physicians detect heart diseases, the AI-based network's results were comparable to cardiologists in detection accuracy.

Though AI is believed to be a game changer in medicine, Canadian medical students interested in radiology still aren’t sure if it will have a positive impact.

Massachusetts researchers have developed a predictive model designed to help physicians know when to administer critical drugs to sepsis patients before the condition turns deadly.

The FDA has given 510(k) clearance to software that uses AI to detect the presence of brain bleeds in CT images.

Deep-learning models trained to detect pneumonia from chest X-rays performed worse when tested on X-rays from outside their original hospital systems, suggesting AI tools should undergo a wide range of testing before being used in clinical settings.