Updated Joint Commission requirements have left healthcare providers across the United States working to standardize imaging protocols and analyze why some CT exams exceed predetermined radiation dose thresholds.

Fujifilm Medical Systems U.S.A., Inc., continues to see growth in enterprise imaging. Fujifilm has secured four new contracts for the implementation of various products from its comprehensive Synapse Enterprise Imaging portfolio, including Synapse 5 PACS, Synapse 3D, Synapse VNA, Synapse Mobility Enterprise Viewer and Synapse Cardiovascular.

A new study analyzing thyroid ultrasound (US) reports found “widespread” underreporting of crucial elements, according to authors of an Oct. 20 American Journal of Roentgenology study. The failures could have led to missed cancer diagnoses.

As the need to share information and images between various hospital departments began to emerge, so did vendor neutral archive (VNA) and enterprise-imaging (EI) management systems, wrote authors of a recent Journal of Digital Imaging study. However, not all institutions are prepared to implement these solutions.

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.

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.

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.

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.