Aidoc and the American College of Radiology Data Science Institute (ACR-DSI) are now helping artificial intelligence (AI) researchers track the performance of various algorithms with an assist from Nuance's PowerScribe Workflow Orchestration platform. 

An artificial intelligence (AI) technique developed by engineers at MIT in Cambridge, Massachusetts may be used to illuminate transparent features in medical images taken with little to no light. The research was published online Dec. 12 in the journal Physical Review Letters.

At the RSNA’s 2018 Annual Meeting in Chicago, Aidoc announced a new partnership with the American College of Radiology Science Institute to create standard solutions for the integration of AI into medical imaging and radiologists’ daily workflow.

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.