A new study found embedding videos in radiology reports aimed at patients had a big impact and may improve radiologist communication with patients. 

Most radiological hardware and software systems now offer gender options beyond female/male classification, a recent analysis shows. 

A model that can achieve accuracy in line with that of radiologists when labeling open-access datasets could be a key factor to overcoming limitations of artificial intelligence implementation, researchers explained in Nature Communications.

Over the past few weeks, members of ASNC’s Health Policy Committee have held meetings with their members of Congress.

Researchers revealed that less than 1% of more than 46,000 patients took advantage of online self-scheduling tools.

Homogenous datasets can create unintended research bias that hinders the clinical efficacy of AI applications, experts recently explained in PLOS Digital Health.

A study in Lancet Digital Health reports that a previously validated, high performing AI model committed troublesome errors when confronted with atypical anatomy.

Variations in the day of the week, time of interpretation, workload burden and even the reader’s gender all impacted radiologists’ written expressions in free text reports.