A VA nursing home in Albany, New York, is using robotic animals with built-in AI to comfort patients with dementia, according to a report by WNYT News.

Artificial intelligence (AI), especially machine learning (ML), is destined to play a key role in the future of interventional radiology (IR), according to the authors of a new study published in the Journal of Vascular and Interventional Radiology.

A recent piece in the New York Times analyzed early results of the Adolescent Brain Cognitive Development (ABCD) Study covered during CBS’s “60 Minutes,” which associated increased screen usage with lower scores on aptitude tests and further brain processes.

“If radiologists are expected to utilize machine learning models safely and effectively for imaging interpretation, education for all levels of background and experience will be required, and a formalized machine learning curriculum targeted toward early career radiologists and trainees is urgently needed," Monica J. Wood, MD and colleagues wrote.

A deep learning algorithm developed by researchers at the Mayo Clinic in Rochester, Minnesota, segmented abdominal CT images to determine body composition similarly to, and at times, better than trained radiologists.

A new fMRI study showed evidence that the imagination can be a central tool in helping people to overcome their fear and anxiety-related disorders. The results were published in the journal Neuron.

iCAD has received FDA clearance for its ProFound AI solution, which uses artificial intelligence (AI) to help radiologists detect cancers in digital breast tomosynthesis (DBT) images.

An AI software system called SmartTarget—which overlays tumor information from MRI scans onto ultrasound images—may help guide surgeons in conducting biopsies and improve prostate cancer detection by reducing the number of unidentified cases, according to research publishing Dec. 5 in the journal European Urology.