“This study implies that future clinical workflows may see AI be used in an adjunct capacity to improve interpretations of CT scans by helping call radiologists' attention to findings that may be overlooked.” 

Harold Litt, MD, explains the use of cardiac CT as a primary imaging exam for chest pain at his emergency department over the past decade.

The research revealed that 7.7% of patients screened for pancreatic cancer had their tumors missed on initial imaging exams but were diagnosed with cancer between three and 18 months later.  

Compared to USPSTF 2013,  modified eligibility criteria could increase cancer detection by 37%.

Recently a radiomics-based machine learning model proved highly accurate at predicting which patients would develop pancreatic cancer three to 36 months after abdominal CT imaging.

Breast cancer screenings present an additional opportunity to identify more women who would also qualify for lung cancer screening, authors of a new paper in JAMA said.

A new paper in Radiology explores factors that can lead to reader variability in CT imaging, from the radiologist’s experience level and subspecialty to navigation patterns and time spent interpreting. 

Researchers believe the new method of assessing treatment responses could pave the way for developing new cancer therapeutics.