The first person diagnosed with the deadly Wuhan coronavirus in the United States is receiving care from a small team of healthcare providers and an advanced robot.

These three items activate similar brain locations, according to the study published this month in Brain and Imaging Behavior, but do so in very different ways.

The deep learning model can identify parasites that cause the disease in blood sample images as accurately as human experts, but in a fraction of the time, researchers wrote in the Journal of Digital Imaging.

Both virtual reality (VR) and augmented reality (AR) are on their way to playing key roles in the delivery of healthcare—but AR may have the brighter future.

Two researchers found that using certain pixel dimensions helped tailor algorithms to detect specific abnormalities, and pushed radiology to keep this in mind when using such approaches.

AI’s potential impact on healthcare is largely measured in patient outcomes, cost savings and workflow improvements, but the technology could also be used to rid the world of some of its most shocking behavior: the devastating practice of modern slavery.

Japan-based researchers believe the algorithm can illuminate "hidden" information contained in imaging exams, and help radiologists in their clinical decision-making.

The concept of healthcare providers working with AI technologies still worries some patients.