Resources: Page 18

Ultralow-field MRI shows promise for acute ischemic stroke diagnosis
By Kate Madden Yee
Portable, ultralow-field MRI shows promise to facilitate diagnosis of acute ischemic stroke -- but reader training is needed, research to be presented on Monday morning suggests.
November 14, 2024
Diffusion MRI can help track multiple sclerosis disability progression
By Kate Madden Yee
Diffusion MRI is a clinically feasible method for monitoring disease progression in multiple sclerosis patients, a team from NYU Grossman School of Medicine in New York City has found.
November 14, 2024
How useful is AI for detecting critical brain imaging findings on MRI?
By Kate Madden Yee
How useful is AI for detecting critical brain imaging findings on MRI? It's on par with neuroradiologist readers -- and thus could prompt appropriate further imaging and reduce callbacks, according to a poster to be highlighted Tuesday morning.
November 14, 2024
MRI illuminates cerebral blood flow differences in autism patients
By Kate Madden Yee
MRI illuminates alterations in cerebral blood flow in children with autism spectrum disorder compared to neurotypical children, Italian researchers have found.
November 14, 2024
Musculoskeletal infection reporting system improves MRI classification
By Kate Madden Yee
A musculoskeletal infection reporting and data system is a reliable way to standardize report terms and manage imaging findings of peripheral extremity infections, according to research that will be presented Tuesday morning.
November 14, 2024
Team conducts efficacy study of rectal contrast gel for pelvis MRI
By Liz Carey
Conversation is brewing about prep for MRI pelvis in evaluating endometriosis in the bowel, according to this scientific session.
November 14, 2024
DL model analyzes multisequence MRI to identify endometriosis
By Liz Carey
This scientific study is said to be the first deep-learning (DL) model to use multisequence MRI on a large cohort for identifying endometriosis.
November 14, 2024
Machine learning plus MRI predicts breast cancer treatment response
By Kate Madden Yee
The combination of a machine learning model based on clinical data with pre-treatment MRI morphologic and radiomic data improves prediction of treatment response in breast cancer patients undergoing neoadjuvant therapy, French researchers have reported.
November 14, 2024
AI shows promise for characterizing gliomas on preoperative MRI
By Kate Madden Yee
AI shows promise for characterizing brain tumor subtypes found on preoperative MR imaging, according to research to be shared with attendees on Thursday afternoon.
November 14, 2024
RSNA 2024
RSNA 2024: Annual Meeting: Dec. 1–5, 2024
November 14, 2024
Beyond the Hype: How AI and Informatics Solutions Are Changing Radiology Today
This webinar brings together clinical expertise and operational knowledge for an insightful discussion that explores the rapidly evolving field of AI-powered cancer detection.
November 14, 2024
400x300 Am Deep Health 241114
Road to RSNA 2024: AI Preview
By Erik L. Ridley
Welcome to the first installment of this year’s Road to RSNA preview of the RSNA 2024 meeting. We’re once again providing a modality-by-modality overview of select scientific presentations to serve as your guide to events at McCormick Place.
November 13, 2024
Road To Rsna
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