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 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.

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.

Global research and development firm Cambridge Consultants, in the U.K. has developed an artificial intelligence (AI) software able to reconstruct images in real-time that have been previously damaged or obscured, according to a Dec. 4 report by Venture Beat.

A new analysis conducted by researchers at McKinsey & Company in New York, published Dec. 4 in the Journal of the American College of Radiology, identified artificial intelligence (AI) and blockchain as the focus for most global medical imaging startups, and potentially for the future of medical imaging.