The American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) was originally created to improve patient management and avoid unnecessary fine needle aspiration biopsy in patients with thyroid nodules. However, its clinical use is still questioned.

Canon Medical Systems USA has received FDA approval for its deep convolutional neural network (DCNN) image reconstruction technology for CT scanning.

“In a scenario where double reading at screening mammography is not available…we believe that the use of this model as a second reader could be beneficial,” wrote researchers in a new study published by Radiology.

Immuno-PET offers a more efficient diagnosis of inflammation in inflammatory bowel disease (IBD) compared to traditional invasive methods, according to a new study published in the June issue of the Journal of Nuclear Medicine.

A culture of corruption allows giant companies like General Electric, Siemens, Philips and Toshiba to bribe Chinese government and hospital officials into purchasing expensive medical equipment, including imaging modalities, according to a lengthy piece published by the New York Times.

More than 25,000 radiologists are taking part in a 24 hour strike across Maharashtra—one of India’s largest states and home to its capital, Mumbai—in response to a recent assault on doctors in West Bengal, India.

Compressed sensing (CS) can reduce the typically long acquisition time of conventional ankle MRIs while preserving imaging quality, according to a small study published in the European Journal of Radiology.

You can find just about anything in an app store. Soon, that may include artificial intelligence applications for radiologists, as a recent Harvard Business Review article suggested.

Using an automated technique to quantify amyloid plaque on PET scans in a patient’s native space can improve the detection of brain amyloid accumulation compared to traditional methods, according to a recent study published in the Journal of Nuclear Medicine.

Artificial neural networks (ANNs) can help radiologists classify pure ground glass opacities (GGOs), according to a new study published in Clinical Imaging. But they shouldn't rely solely on AI-produced findings.