At the 61st Annual Meeting of the American Society for Radiation Oncology (ASTRO), Sept. 15-18 at McCormick Place in Chicago, Siemens Healthineers debuts two computed tomography (CT) systems dedicated to radiation therapy (RT) planning: the SOMATOM go.Sim and the SOMATOM go.Open Pro.

The Australian Nuclear Science and Technology Organization (ANSTO) confirmed it has shut down its Lucas Heights nuclear medicine facility following a “mechanical fault,” The Guardian reported. The shutdown puts an added strain on Australia’s already short supply of molybdenum-99 (Mo-99).

A new diffusion tensor imaging technique can help predict problems related to dementia in patients with stroke-related small vessel disease, according to research published in Stroke.

The FDA has cleared GE Healthcare’s Critical Care Suite, a collection of AI algorithms built into a mobile x-ray machine, according to a Sept. 12 statement.

Medical student applications for radiology residency programs has remained stable, but authors of a new editorial published in Academic Radiology believe the specialty will face upcoming challenges that warrant improved recruitment strategies.

The American College of Radiology (ACR) was picked by the National Institute for Occupational Safety and Health (NIOSH) to train physicians to classify pneumoconiosis on chest x-rays, a specialist otherwise known as a “B Reader.”

A team of researchers from Taiwan performed a first-of-its-kind external validation of four AI algorithms used to detect pulmonary nodules in chest x-rays, sharing their results in Clinical Radiology. The classifiers could help radiologists improve medical imaging care as a whole.

A new study found that machine learning networks can learn to alter images so they are indistinguishable from real ones. Researchers warned this may tempt criminals to use such platforms for cybersecurity attacks.

Prominent healthcare organizations, including the American College of Radiology (ACR) and American Medical Association (AMA), have asked Congress to consider certain policy recommendations during its push to protect patients from surprise medical bills.  

MRI can predict the severity of one of the most frequent tumors of the central nervous system, according to a recent study published in Clinical Radiology. Researchers believe it may help tailor a patient’s management plan.