Follow-up recommendations in radiology reports commonly contain little standardization. Machine learning and deep learning methods are each effective for deciphering reports and may provide the foundation for real-time recommendation extraction, according to a recent study in the Journal of the American College of Radiology.

General Electric (GE) has filed the paperwork for an initial public offering (IPO) for its healthcare unit, GE Healthcare, according to numerous sources familiar with the ongoing situation. The offering is expected to take place by the middle of 2019.

Tech company Amazon has launched a new medical language processing service that, by using artificial intelligence (AI), can extract data from patient records and reports to help healthcare professionals make better treatment decisions, address data privacy and decrease overall costs, according to a report published Nov. 28 by TechCrunch.

A natural language processing and machine learning-based algorithm may successfully evaluate inter-radiologist report variation and compare differences between radiologists using highly-structured versus free-text reporting, according to research published Oct. 9 in Current Problems in Diagnostic Radiology.

Radiology report quality was improved with a software solution that auto-filled ultrasound measurements, and helped radiologists better focus on their imaging interpretations, according to research published Oct. 7 in Current Problems in Diagnostic Radiology.

International researchers have created an artificial intelligence (AI) method capable of automatically quantifying left ventricle (LV) function from cine MRIs, according to a multivendor, multicenter study published Oct. 9 in Radiology. Experts believe it may lead to faster cardiac MRI reporting.

Cleveland is yet again blazing new ground in healthcare. This time, myriad health systems are actively collaborating to share images. A first for the U.S., we believe. University Hospitals Health System (UH) is leading the charge that now includes more than two dozen hospitals, providers sites and health systems and counting. Here’s how they did it.

Just 39 percent of healthcare organizations and providers are confident in their medical device security, according to report by KLAS, College of Healthcare Information Management Executives (CHIMES) and the Association for Executives in Healthcare Information Security (AEHIS).