Deep convolutional neural networks (CNNs) can be trained to predict sequence types for brain MR images, according to new research published in the Journal of Digital Imaging.

Google and have announced a new partnership focused on bringing autonomous monitoring technology to hospitals environments.

Researchers have detected racial bias in an algorithm commonly used by health systems to make decisions about patient care, according to a new study published in Science.

Regina Barzilay, PhD, a professor at the Massachusetts Institute of Technology, has been working closely with AI technologies to improve breast cancer care ever since she was diagnosed with the disease in 2014.

A lung cancer researcher from Dartmouth College has received a $1.5 million grant from the National Cancer Institute to build and validate machine leaning approaches to develop better, more personalized cancer treatments.

As AI technologies continue to evolve, they could have a titanic impact on the health of people all over the world, improving patient outcomes and changing the way each and every person lives their life. It’s going to take more than just AI alone, however—there are a number of other factors to consider as well.

The combination of machine learning and ultrasound could help healthcare providers with the diagnosis of thyroid nodules, according to new findings published in JAMA Otolaryngology.

Discussions about AI and radiology often focus on the researchers who help develop the algorithms and radiologists themselves. But a new analysis published in Academic Radiology shines a light on another key role in the implementation of AI: the imaging informaticist.

CMS has announced a new plan to “modernize” Medicare and find new ways to “protect taxpayers from fraud, waste and abuse.” Could AI technologies play key role in the agency’s strategy?

Deep learning neural networks can improve the detection of tuberculosis (TB) and provide health systems with considerable cost savings, according to new findings published in Scientific Reports.

Two healthcare companies focused on AI-powered technologies—Densitas and MaxQ AI—have announced that they will have FDA-approved solutions available on the Nuance AI Marketplace.

AI can detect brain hemorrhages in CT scans more accurately than some radiologists, according to new findings published by Proceedings of the National Academy of Sciences.