AI analysis of MRI data can accurately identify changes that result from repeated head injury, with potential to help illuminate how subtle brain injuries accumulate over time.
Category: Via NYU Langone Health NewsHub
News about imaging advances and imaging-enabled research from NYU Langone Health NewsHub.
An interdepartmental collaboration at NYU Langone creates a vast shared repository of MR images to help advance the scientific understanding of metastatic brain cancer.
Approach may reduce radiation exposure and costs.
A look at how Linda Moy, MD, professor of radiology at NYU Langone Health, is working with colleagues to investigate and develop AI methods for better breast MRI.
MR images reconstructed from undersampled scans with AI have similar diagnostic value as those reconstructed with conventional methods, find scientists at NYU Langone and Meta AI Research.
NYU Langone Health debuts the first video radiology reports in a U.S. hospital to help patients understand the results of their imaging exams.
Personalized, plain-language video reports can help patients better understand imaging test results, according to a new study led by radiologists at NYU Langone in collaboration with Visage Imaging and Siemens Healthineers.
Imaging researchers at NYU Langone Health are training AI models to recognize breast cancer in mammograms, with the potential to improve radiologists’ accuracy.
A computer program trained to see patterns among thousands of breast ultrasound images can aid physicians in accurately diagnosing breast cancer, a new study shows.
Study finds MRI reduces the number of biopsies and detects more clinically significant cancers.