Electronic medical records (EMRs) contain mounds of valuable, but unformatted information making it difficult to use as a source for research, wrote first author, Changhwan Lee, with Hanyang University in Seoul, Korea, and colleagues.  AI may be able to solve that problem.

Although online portals allow some patients to easily access their radiology reports, new research published Jan. 8 in the American Journal of Roentgenology found that lumbar spine MRI reports in particular are written at a reading level too advanced for the average patient to comprehend.

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.