A higher level of background parenchymal enhancement (BPE) measured during breast MRI is associated with the presence of breast cancer in women at high risk of breast cancer but not in women with average risk, according to a new study.

PET brain imaging using a new brain imaging paradigm yields preliminary evidence that tobacco smokers may have reduced neuroimmune function compared with non-smokers.

Supplemental training can improve radiologists’ performance in reading screening mammograms, according to a recent study.

In order to properly train and validate algorithms, developers need high volumes of quality-labeled data. But such datasets are not easy to obtain.

A convolutional neural network (CNN) approach can accurately identify and sub-classify suspected tuberculosis (TB) on chest radiographs, according to research presented at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.

Positron emission tomography/computed tomography (PET/CT) shows a strong correlation between severe obstructive sleep apnea (OSA) and impaired coronary flow, making it an important tool for helping to avert cardiac complications that occur when OSA is left untreated.

Predictions of heart attacks and deaths based on coronary computed tomography angiography (CCTA) are more accurate when made using an artificial intelligence (AI) algorithm than with the Coronary Artery Disease Reporting and Data System (CAD-RADS) or other risk assessment methods.