High-resolution MRI machines can achieve greater resolution when radio probes are changed from coils to antennas, reported researchers in a recent study published in Transactions on Microwave Theory and Techniques.

Using a breast MRI tumor dataset, researchers found a deep learning convolutional neural network (CNN) approach could be trained to predict responses to chemotherapy prior to its initiation, according to a recent Journal of Digital Imaging study.

Technology company Nvidia is partnering with the Scripps Research Transitional Institute in a push to apply artificial intelligence (AI) with digital health sensor data.

A pilot study conducted by researchers at the University of Maryland Medical Center in Baltimore has successfully treated the first U.S. patient using MRI-guided focused ultrasound for chronic neuropathic pain, according to a university press release published Oct. 28.

The American College of Radiology Data Science Institute (ACR DSI) recently released a series of standardized artificial intelligence (AI) use cases to help advance imaging in AI. Down the road, they could help create an “AI ecosystem” for radiology, wrote Bibb Allen, MD, chief medical officer of the ACR DSI, in a recent Journal of the American College of Radiology editorial.

A team of researchers from Cleveland has developed a three-dimensional (3D) MR fingerprinting method for breast imaging which may better evaluate breast tumors, according to an Oct. 30 study published in Radiology.

Researchers from the University of Illinois at Urbana-Champaign and the Mayo Clinic in Rochester, Minnesota, teamed up to create a new molecular probe which can measure and count RNA in cells and tissue as well as traditional dyes, according to a new study in Nature Communications.

The Mayo Clinic and healthcare device company Eko plan to develop technology that uses machine-learning to help physicians better detect easily-missed heart diseases in patients.