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.
Accurate information relative to personal risk is crucial for improving uptake of low-dose CT (LDCT) lung cancer screening, but new data indicate that many websites' content on the topic is out of date.
How recent developments in hormonal contraceptives affect breast density is an important consideration, as an increase in density category increases cancer risk.
Incoming 2023-2024 American College of Cardiology president Hadley Wilson, MD, shared insights on how to create health equity through grassroots community outreach programs.
Prior research has shown that not only is contrast-enhanced spectral mammography comparable to CE-MRI in accuracy of loco-regional staging, but some studies have even found it to perform better.
Using risk model-based strategies to determine who should undergo low-dose CT lung cancer screening is more cost effective than current U.S. Preventive Services Task Force guidelines.