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 Israeli vendor Nanox says it has a vision for the future of healthcare. It seeks to address health disparities and access challenges with a new business model and innovative package of technologies. Hurdles loom, but opportunities abound.
Personalized breast cancer screening programs could help women better understand their personal cancer risks and guide providers in recommending mammographic assessments based on these risks.
Experts are calling for strategies to improve follow-up adherence among individuals who have positive lung cancer screenings after a new analysis revealed low rates of compliance.
A new paper highlights several studies supporting the use of screening mammography for women with breast implants, as well as additional considerations that need to be made for these patients.
Suggesting that the standard 10-year age gap screening rule might not be as beneficial as previously assumed, researchers have indicated that women with relatives diagnosed at younger ages should consider different screening criteria.
