Contextualized reports differ from structured reports in that they focus on specific clinical indications, rather than a basic standardized checklist of anatomical regions that does not always address a particular concern.
Machine learning models could help create a more standardized, reproducible and efficient way of grading Crohn’s disease severity in the small bowel based on CT imaging.
Dharmesh Patel is on trial for three counts of attempted murder—one for each of the passengers in his vehicle when he plunged it down a 250-foot cliff.
Although these tools have proven themselves valuable in numerous settings, they must be used with caution, especially by patients and nonradiologist providers who may be seeking clarification on imaging reports.
A general lack of awareness pertaining to ACR appropriateness criteria could be a driving factor behind the misguided requisitions, authors of a new analysis suggest.
Experts, medical organizations and advocates alike are coming forward saying that the new guidelines “do not go far enough,” particularly when it comes to addressing the screening needs of certain patients.
Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.
Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.
