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.
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.
Two respected radiology organizations have issued a stark warning on the new recommendations, stating that they risk confusing patients and “may contribute to thousands of additional breast cancer deaths each year.”
The bills update the ages at which insurance carriers are required to cover screening mammograms and add language that includes tomosynthesis in the definition of mammographic screening.
Research published recently in BMC Pulmonary Medicine examined associations between findings on low dose computed tomography screenings and other conditions, such as cardiovascular, respiratory and oncologic diseases.
The software was trained using more than 700 images and achieved a breast density classification accuracy of 89%, experts recently shared in Radiology: Artificial Intelligence.
Women with breast arterial calcifications are 51% more likely to develop heart disease or have a stroke, experts explained recently in Circulation: Cardiovascular Imaging.
In an exclusive video, Stacey Wolfson, MD, and Beatriu Reig, MD, MPH, from the NYU Grossman School of Medicine, discuss the findings of their new analysis.
There are not yet consensus-based guidelines available for screening women with dense breast tissue, so researchers at Mayo Clinic recently developed a set of recommendations regarding supplemental screening.
The analysis examined 620 cancer imaging studies from the top 25 imaging-related journals to come up with publication-to-incidence and publication-to-mortality ratios.