Imaging leaders can create significant value by implementing incremental innovation at their radiology practices, according to a new study published by Radiology.

When using digital breast tomosynthesis (DBT) for screening mammography, radiologists can reduce recall rates by comparing their results with prior mammograms, according to a new study published in the Journal of the American College of Radiology.

Recent research has shown MRIs are safe for patients with implantable cardiac devices such as pacemakers and cardioverter defibrillators. However, according to a recent analysis published by Radiology, there’s still a lot of information for radiologists, cardiologists and electrophysiologists to know about this important topic

The American College of Radiology (ACR) Commission on Breast Imaging has sent a letter to the Physician Data Query (PDQ) Editorial Board objecting to specific language included in the recently updated Breast Cancer Screening PDQ.

Combining digital breast tomosynthesis (DBT) and standard 2D full-field digital mammography (FFDM) gives radiologists a powerful tool for detecting deadly breast lesions. A downside of this combination, however, is that it means exposing the patient to more radiation.

Cardiac hybrid imaging with single photon emission tomography (SPECT) myocardial perfusion imaging (MPI) and coronary CT angiography (CCTA) is an effective predictor of adverse cardiac events, according to a new study published in Radiology.

A new study published in the Journal of the American College of Radiology found that breast imaging specialists provide significant value to patients when conducting second-opinion review of imaging studies, even before the patient is diagnosed with breast cancer.

A team of researchers from Singapore and the United States wrote about how their recent work with artificial intelligence (AI) could help healthcare providers with image analysis, sharing their analysis in a study published by Nature Medicine.

Jimmie Taggart went to North Mississippi Medical Center in West Point, Mississippi, complaining about severe back pain. When his doctor recommended an abdominal CT scan to confirm he had kidney stones, however, he wouldn’t agree to the procedure. He was afraid of how much it would cost.

An artificial intelligence (AI) system defeated a team of 15 doctors, 2-0, in two rounds of a competition that looked at the ability to diagnose brain tumors and predict the expansion of brain hematomas.