Deep learning techniques can be used to detect catheters and tubes in pediatric x-rays, according to a new study published in the Journal of Digital Imaging. These findings could lead to advancements that prioritize x-rays with poorly placed catheters, bringing them to a specialist’s immediate attention.

Allowing patients to communicate directly with radiologists through an online portal helps them stay informed and feel more engaged, according to a case study published in the Journal of the American College of Radiology.

Researchers have developed a new checklist to determine if general anesthesia (GA) is needed when children and young adults undergo MRI scans, sharing their findings in Clinical Radiology.

The terms “AI” and “machine learning” appear early and often on the agenda for SIIM19, which rolls into Denver the last week of June. The heavy dose of AI-related tech talk is no surprise, given the fast and steady interest in these technologies evidenced by imaging informaticists in medicine.

Has the value-based U.S. healthcare system become so focused on the bottom line that care is, in cases, getting compromised? 

The American College of Radiology (ACR) and Society of Nuclear Medicine and Molecular Imaging (SNMMI) have joined forces to launch a new nuclear medicine clinical data registry.

High-strength MRI scans can help providers track the development of cortical lesions in patients with multiple sclerosis (MS), according to new research published in Radiology.

The American College of Physicians (ACP) now recommends that average-risk women with no symptoms undergo breast cancer screening with mammography every other year, beginning at the age of 50. The ACP explained its decision through a new guidance statement published in Annals of Internal Medicine.