A new machine learning algorithm can determine which stroke patients would benefit from an endovascular thrombectomy based off of CT angiography (CTA) scans, according to new research out of the University of Texas Health Science Center at Houston.

Convolutional neural networks (CNNs) can accurately identify vertebral fractures (VFs) on x-rays, according to a Sept. 17 study published in Radiology. The method may improve radiologists’ diagnostic ability.

A new machine learning approach can predict the negative side effects of radiation treatment in patients with head and neck cancers. The findings, presented at the American Society for Radiation Oncology (ASTRO) annual meeting, can help select patients who might need a more tailored care approach.

RSNA has officially launched a new AI challenge: the RSNA Intracranial Hemorrhage Detection and Classification Challenge. This is the group’s third annual AI challenge.

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.

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.

German researchers have found that physical fitness can actually improve brain structure and brain functioning in young people, according to a study presented at the European College of Neuropsychopharmacology (ECNP) Congress in Copenhagen.