An artificial intelligence (AI) software designed by Google DeepMind and U.K. physicians identified diseases on optical coherence tomography scans and made the correct referral choice in 94 percent of cases, according to a recent Nature Medicine report.

Researchers at Massachusetts Institute of Technology (MIT) have created a machine-learning technique that reduces the toxic chemotherapy and radiotherapy doses for patients with the most aggressive form of brain cancer.

An artificial intelligence (AI) platform created at Mount Sinai Health System in New York can accurately read a CT scan and diagnose a neurological illness, such as stroke in 1.2 seconds—outperforming its human counterpart.

In the first-of-its-kind FDA-approved study, researchers from the University of Maryland School of Medicine are using MRI-guided focused ultrasound to open the blood-brain barrier to help deliver drugs for patients with glioblastoma.

The center will serve as a common space for University of California, Irvine (UCI) faculty, physicians and researchers to collaborate on translating artificial intelligence (AI)-based concepts into clinical tools to improve all aspects of healthcare.

A new artificial intelligence (AI) algorithm developed by researchers from the Lawson Health Research Institute in Ontario, Canada and The Mind Research Network in Albuquerque, New Mexico, could help predict whether a patient will successfully respond to medication for a mood disorder.  

A team of Russian researchers has developed a novel MRI coil capable of producing images with three times the resolution of commercial varieties, according to a recent NMR in Biomedicine study.

Canon Medical Research Europe, based in Edinburgh, Scotland, was awarded $180,000 to develop an artificial intelligence (AI)-based medical imaging technology prototype that can recognize, assess and measure asbestos-related cancer tumors, according to a report published Aug. 6 by Scottish Business Insider.