Catch up on the top AI-related news and research in radiology over the past month.
Diagnostic Imaging's Advances in AI monthly roundup is your chance to catch up on the latest AI news, AI-powered imaging modalities and emerging AI research affecting the field of radiology. Review the slideshow below to see highlights from the past month.
ACR Collaborative Model Leads to 35 Percent Improvement with Mammography Positioning Criteria
July 1st 2024Noting significant variation with facilities for achieving passing criteria for mammography positioning, researchers found that structured interventions, ranging from weekly auditing of images taken by technologists to mechanisms for feedback from radiologists to technologists, led to significant improvements in a multicenter study.
Can AI Facilitate Improved Dual-Energy X-Ray Screening for Patients at High Risk of Osteoporosis?
June 28th 2024Out of 315 patients identified by artificial intelligence (AI) as being at high risk for osteoporosis, subsequent screening with dual-energy X-ray absorptiometry (DXA) in a randomized controlled trial revealed new-onset osteoporosis in 237 patients.
Can Brain MRI-Based Connectome Mapping Predict the Progression of Parkinson's Disease?
June 26th 2024For patients with mild Parkinson’s disease, new research suggests that indexes of disease pathology with structural and functional connectivity of brain regions can help predict progression of gray matter atrophy at two- and three-year follow-up brain MRI exams.