Exposure to radioiodine can lead to DNA damage in thyroid cells and other tissue, but new research suggests current radiation protection principles may not be sufficiently monitoring radiation exposure to nuclear medicine professionals.

Discussions about AI and radiology often focus on the researchers who help develop the algorithms and radiologists themselves. But a new analysis published in Academic Radiology shines a light on another key role in the implementation of AI: the imaging informaticist.

Marketing-related initiatives, rather than proven clinical efficacy, are putting pressure on women to choose 3D mammography, according to an investigation covered in USA Today.

Deep learning neural networks can improve the detection of tuberculosis (TB) and provide health systems with considerable cost savings, according to new findings published in Scientific Reports.

A retrospective study reveals the promise of new high-frequency microwave ablation (MWA) technology in treating lung malignancies.

AI can detect brain hemorrhages in CT scans more accurately than some radiologists, according to new findings published by Proceedings of the National Academy of Sciences.

Deep learning algorithms can be trained to flag suspicious chest x-rays in an emergency department (ED) setting, according to new research published in Radiology.

Manufacturers, hospitals, physicians and patient advocates have put significant marketing resources—including millions of dollars—into selling 3D mammograms to women, despite little evidence the modality is better than traditional mammography.