A North Carolina-based hospital is issuing notices to patients following a phishing attack that accessed several employee email accounts.

A natural language processing (NLP) and machine learning algorithm was trained to evaluate variability in both free-text radiology reports and structured radiology reports, according to new research published in Current Problems in Diagnostic Radiology. The variation was more prevalent in free-text reports.

Pew Charitable Trusts is asking the Office of the National Coordinator (ONC) for Health Information Technology to incorporate safety-related data into its reporting criteria for usability in its new electronic health records (EHR) reporting program.

Incomplete thyroid ultrasound (US) radiology reports cause "confusion and discrepancy" among specialists about the risk of malignancy and the necessity of biopsy, according to findings reported in the American Journal of Roentgenology.

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.

Decision support (DS) systems based on artificial intelligence (AI) can improve the diagnostic performance of radiologists, but what’s the best way to integrate those DS systems into a reader’s workflow? Researchers tested two different reading methodologies, sharing their findings in the Journal of Digital Imaging.

Anthem, Inc. will pay a record $16 million to the Department of Health and Human Services (HHS) Office for Civil Rights (OCR) after a data breach exposed the electronic protected health information of nearly 79 million people.

A team of East Coast researchers found the effectiveness of artificial intelligence (AI)-based decision support (DS) systems depends on how they are presented in a radiologist’s clinical workflow.