Artificial intelligence (AI) is changing the way healthcare providers care for elderly patients through a variety of new AI-powered solutions. One tool that’s making a big splash in the field is the robotic helper, according to a report by Forbes.

A University of Toronto professor believes artificial intelligence (AI) and robotics will play a key role in streamlining healthcare delivery for patients, and hopes a new AI robot can lead the way.

“The appeal of ultra-high-field scanners is clear. The stronger the magnetic field, the greater the signal-to-noise ratio, which means the body can be imaged either at greater resolution, or at the same resolution, but faster,” according to an article published Oct. 31 by Nature.com.

The scanner—installed at the University of Southern California’s Mark and Mary Stevens Neuroimaging and Informatics Institute (INI) in February 2017—may help in the development of care, treatment and monitoring of patients with Alzheimer’s disease, multiple sclerosis and other neurological diseases.

The Mayo Clinic in Rochester, Minnesota, is partnering with FundamentalVR, a virtual reality (VR) training and data analysis technology platform in London, to develop several surgical VR simulation and educational products.

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.