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.

A deep learning algorithm developed using imaging data from more than 1,000 Alzheimer’s disease (AD) patients can accurately predict the presence of AD more than six years before a doctor finalizes a diagnosis, researchers reported in Radiology Nov. 6.

Five technology centers dedicated to using AI to speed up disease diagnosis and improve patient outcomes are opening throughout the United Kingdom.

A team of researchers used machine learning to help develop a model for predicting surgical critical care patients’ risk of developing hospital-acquired pressure injuries, according to a study published in the American Journal of Critical Care.

A company that uses artificial intelligence (AI) to find healthcare data has raised millions in funding in a push to grow the business, according to a report by VentureBeat.

Anthem has hired Udi Manber, former head of engineering for Google’s core search products, to lead its artificial intelligence (AI) program, according to a report by CNBC.

Artificial intelligence has arrived, and the industry is officially on notice. The utilization of artificial intelligence (AI) in healthcare was named the second most important medical innovation for 2019 by the Cleveland Clinic.

An artificial intelligence (AI)-based grading system successfully diagnosed two patients with diabetic retinopathy, according to a study published by JAMA.