Diagnostic screening programs help catch cancer, abnormalities or other diseases before they reach an advanced stage, saving lives and healthcare costs. Screening programs include, lung, breast, prostate, and cervical cancer, among many others.
Elizabeth Rula, executive director of the ACR-backed research outfit, discusses how to solve staffing shortages, prior authorization issues, and other key issues facing radiology.
New findings support the routine use of deep learning-based risk assessments, as this method can decrease subjectivity, reduce unnecessary imaging and improve diagnostic accuracy.
The COlorectal Cancer detection with AI, or COCA, model is a cost-effective, scalable solution that turns routine CT scans into opportunistic exams that can be used to proactively identify CRC.
The sonographer's experience level is "critical" in screening patients at risk of developing hepatocellular carcinoma, doctors reported in the American Journal of Roentgenology.
Using CT to assess muscle mass may be particularly useful for spotting asymptomatic individuals at risk for arterial plaque buildup, experts explained.
“We expect that we’re going to see increased morbidity and mortality due to the fact that these patients weren’t able to get their routine imaging,” MGH experts cautioned.
"By looking at the mammograms from the perspective of the radiologist, the technologist is more likely to obtain an additional image to avoid an unnecessary recall," experts explained this week.