A deep learning model classified acute and nonacute pediatric elbow abnormalities on radiographs in trauma with 88 percent accuracy, according to new research published in Radiology: Artificial Intelligence. 

The Montreal Neurological Institute and Hospital—also known as The Neuro—of McGill University in Montreal, Québec, Canada, has installed the country’s first whole-body 7-Tesla MRI scanner.

An MRI-guided strategy for treating patients with rheumatoid arthritis (RA) showed no benefits over conventional treat-to-target approaches, according to a Feb. 5 study published in JAMA. The authors also found the modality showed no benefit in radiographic progression.

“This case emphasized the importance of a high index of suspicion in an unusual presentation of a common disease and the pivotal role of bronchoscopic intervention in malignant central airway obstruction,” Abdul Hanif Khan, MD, and colleagues wrote, in a new case report published by The BMJ.

A study investigating the differences between healthy brains and those with Alzheimer’s disease (AD) has produced a map of more than 24,000 AD-related datapoints, according to authors of the research published Feb. 4 in Communications Biology. They claim it is one of the largest datasets of its kind.

AI for image analysis is predicted to be the top digital health technology for 2019 based on a survey of healthcare professionals, according to Forbes.

University of Arizona in Tuscon researchers, led by Diego Martin, MD, PhD, chair of the university’s medical imaging department, have developed an MRI technique aimed to replace blood tests and invasive biopsies for measuring nonalcoholic fatty liver disease, according to a report by the Arizona Daily Star.

Russian researchers and radiologists have developed AI software that can distinguish and subsequently mark lung cancers on a CT scan within 20 seconds.