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.”
Brittany Nicole Weber, MD, PhD, detailed new research into the benefits of screening for cardiovascular disease in CT scans not specifically ordered for that purpose. The rise of AI has helped make opportunistic screening a huge trend in both cardiology and radiology.
Pedro Martinez Clark, MD, FSCAI, interventional cardiologist, medical director of Amavita Heart and Vascular Health in Miami, set up community outreach efforts to screen patients in low-income neighborhoods.
A screen first approach for women who present with breast pain decreases healthcare spending without the risk of overlooking cancer, new analysis shows.
Debra Monticciolo, MD, who has previously led both the Society of Breast Imaging and the American College of Radiology, discussed how different screening strategies may impact patient outcomes.
Dana Smetherman, MD, is a diagnostic radiologist who specializes in breast imaging. She spoke to Health Imaging about some key issues that have her attention in 2024 and beyond.