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 have developed an artificial intelligence (AI) platform that can detect acute neurologic events in CT images in just 1.2 seconds, according to a new study published in Nature Medicine.

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.

A machine-learning algorithm that uses a technique known as reinforced learning can dramatically cut toxic chemotherapy and radiotherapy by optimizing treatment plans and drug dosages for glioblastoma patients, according to research out of the Massachusetts Institute of Technology.

A new center at the University of California, Irvine is working to better serve patients and healthcare providers by using artificial intelligence (AI).

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.

iCAD announced that its PowerLook Density Assessment 3.4 solution has gained FDA clearance. The software, compatible with iCAD’s digital breast tomosynthesis solutions, uses artificial intelligence to assess patients’ breast density.