“By examining cognitive dysfunction patterns within an individual, we can develop better risk assessment tools that will allow quick therapeutic interventions before relapses occur,” said co-investigator of the project Olusola Ajilore, MD, PhD, with the University of Illinois at Chicago.

"Using this new tool may uncover the characteristics of different types of clots that were previously unrecognized by humans," researchers wrote in the journal eLife.

Abnormalities were most commonly seen in sicker patients with the virus who were also admitted to the intensive care unit, according to recent research.

Nuclear medicine experts found that 18F-PSMA-1007 performed just as well as 68Ga-PSMA for staging individuals with intermediate- or high-risk forms of the disease.

Researchers at the University of Virginia are exploring ways to break through the blood-brain barrier using MRI-guided focused ultrasound.

Ultrasound has emerged as a strong contender for first-line status among imaging modalities used in emergency settings for diagnosing COVID-19, according to a multicenter group of ER physicians with COVID experience and ultrasound expertise.

The moment may be ripe for MRI scanners that could fit into clinicians’ offices and leverage AI for optimally efficient workflows, interpretations and treatment plans.

A predictive algorithm has distinguished patients free of obstructive sleep apnea from those with three levels of the condition—mild, moderate and severe—with 91% accuracy. And it did so using only 3D photos of the subjects’ faces.

For finding microcalcifications in screening exams, full-field digital mammography now has little to recommend it over reduced-radiation 2D synthetic mammography.

Two of the U.S. Department of Energy’s 17 national laboratories have collaborated to invent a novel x-ray detector that powers itself, uses ultralow radiation—and delivers medical and dental images with 100 times more sensitivity than conventional designs.

As an aid to tumor-resection neurosurgery and its planning, fluorescence imaging has been limited by its tendency to scatter light. Researchers are working on technology that would overcome this shortcoming.

As the research mounts on AI matching or besting radiologists in discrete interpretive tasks, so does the excitement in the popular press. Now comes a study showing many of these studies only invite the hype.