Imaging Informatics

A recurrent neural network (RNN) can be trained to automatically classify important findings in unstructured radiology reports, according to new research published in the American Journal of Roentgenology

INFINITT North America announced Friday, Feb. 1, that its INFINITT PACS has been ranked as the No. 1 Category Leader in the PACS Community Hospital and PACS Imaging Centers/Ambulatory categories by KLAS Research.

Carestream Health announced Thursday, Jan. 31, that its solutions have been named ‘Best in KLAS’ in two different categories.

Sectra announced Thursday, Jan. 31, that its PACS was named ‘Best in KLAS’ in the United States for the sixth year in a row.

How will the Protecting Access to Medicare Act (PAMA) of 2014 impact emergency department (ED) care in 2020 and beyond? That’s precisely what the authors of a new study published in Radiology wanted to find out.

Structured report templates are growing in popularity, but creating those templates and implementing them in a health system requires a significant amount of time and effort. After leading such an effort at their own system, a group of specialists wrote about the experience in a new analysis published in the American Journal of Roentgenology.

The use of a structured template for brain tumor imaging can improve how radiologists and ordering physicians view radiology reports, according to new research published in Academic Radiology.

Hoping to make worthwhile MRI workflow improvements? Extracting DICOM metadata can provide more accurate, reliable information than RIS data alone, according to findings published in the Journal of Digital Imaging.

Lumbar spine MRI reports are too confusing for an average patient to read and understand, according to new findings published in the American Journal of Roentgenology.

A Florida-based surgeon must pay a $3,000 fine for removing a woman’s kidney because he thought it was a cancerous mass. The surgeon has pointed out that the patient's radiology results were not at the hospital at the time of the surgery.

Artificial intelligence (AI) can help providers identify follow-up recommendations in radiology reports, according to new research published by the Journal of the American College of Radiology.

CT protocols and radiation doses vary significantly across different countries, according to a new study published in the BMJ. The authors added, however, that developing a consistent standard “should be possible.”