Microsoft is sunsetting its PowerScribe 360 platform, and radiology departments are considering where they want to go from here.
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Researchers are using AI to reveal hidden biomarkers in routine CT scans, mammograms, and X-rays, potentially identifying patients at elevated risk for cancer and other diseases before visible signs emerge.
Today’s diagnostic displays offer centralized quality assurance, automated calibration, multimodality flexibility, and improved ergonomics to support consistent image interpretation across radiology workspaces.
Because GLP-1s are relatively new, medical professionals still have a lot to learn about them. New research suggests they may offer some benefit in breast cancer prevention.
This issue examines advances in radiology reporting, the possible role of GLP-1s in breast cancer prevention, predictive imaging with AI, and evolving diagnostic displays.
An initiative in Nigeria is exploring how AI-assisted decision support could help MRI teams improve implant screening and workflow consistency without replacing clinical judgment.
A free online source teaches IR to medical students, residents, fellows, and early career interventional radiologists.
A suspicious breast mass initially yielded benign inflammatory biopsy results, but radiologic-pathologic discordance prompted repeat sampling and a diagnosis of extranodal Rosai-Dorfman disease.
Burnout is a significant problem in radiology. Experts recommend overhauling workflow to bring medical imaging into the AI age.
Even radiologists and AI programs have difficulty spotting the differences between real and synthetic images, but the threat to health care is relatively low.