Could automated breast ultrasound replace handheld ultrasound?

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uptake of low-dose CT (LDCT) lung cancer screening, but new data indicate that many websites' content on the topic is out of date.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.

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.

Researchers involved in the new study propose that abbreviated MRI protocols could offer more accurate assessments of liver lesions than ultrasound. 

Age, specialty training and reading volume give readers an edge over their peers when it comes to screening mammogram interpretations.

The deep learning model was trained to predict risk of lung cancer in the one to six years following completion of an LDCT scan, and it does not require clinical information relative to risk factors to do so.