CT colonography awareness and utilization in the United States are both trending in the wrong direction, according to a new study published by the Journal of the American College of Radiology.

What do patients think about the use of artificial intelligence (AI) in radiology? A new study published in the Journal of the American College of Radiology addressed that very question.

Implementing digital breast tomosynthesis (DBT) leads to lower breast biopsy rates without having a negative impact on cancer detection, according to new findings published in Radiology.

Centering a radiology department’s workflow around the electronic health record (EHR) can improve efficiency and make radiologists happy, according to a new study published in Academic Radiology.

An abbreviated brain MRI protocol can help reduce the need to sedate young children suffering from headaches, according to a new study published by the American Journal of Roentgenology.

Artificial intelligence and radiomics can help specialists predict how patients with non–small cell lung cancer (NSCLC) will respond to chemotherapy, according to new research published in Radiology: Artificial Intelligence.

Molecular data from a patient’s breast cancer cells can help predict if they are at an increased risk for recurrence, according to new findings published in Nature.

Supplementing screening mammography with whole-breast ultrasound may not be worth the trouble, according to new findings published in JAMA Internal Medicine.

Increased background parenchymal enhancement (BPE) levels at breast MRI are associated with a greater risk of developing breast cancer within a year, according to new findings published in the American Journal of Roentgenology.

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