When research teams are developing deep learning models, they have to make certain decisions about the image resolutions used in their work. For instance, should they always aim to use the largest images possible? Or are there times when smaller images can get the job done?  

Utilizing more efficient imaging protocols could spare patients from unnecessary radiation while also improving value.

A simple ECG score could help physicians estimate infarct size in patients with prior MI, according to work published Jan. 24 in the Journal of the American Heart Association.

Researchers have developed a new quantitative framework that evaluates thyroid nodules at a level comparable to two expert radiologists.

Imaging markers such as breast parenchymal uptake varied greatly between women with benign and malignant lesions, according to a study published in the Journal of Nuclear Medicine.

Deep learning-based reconstruction (DLR) can reduce the radiation dose associated with low-dose chest and abdominal CT scans without sacrificing image quality, according to a new study published in the American Journal of Roentgenology.

The National Kidney Foundation joined the college in releasing a new consensus document that answers key questions and offers recommendations for using IV contrast in patients with impaired kidney function.

The American Society of Radiologic Technologists (ASRT) has published a new white paper on AI and its potential impact on the work of medical imaging and radiation therapy professionals.