In this episode, Dr. Michael Recht, chair of the radiology department at New York University Langone Health, discusses the partnership between NYU and Facebook AI that has created an accelerated MRI that is four times as fast as a standard MRI.
Through a partnership with Facebook AI, researchers at NYU Langone Health have trained a neural network that can create MRI images in a fraction of the time needed for standard scans.
In a study published in the American Journal of Roentgenology, the team revealed the radiologists reading the resulting images detected the same abnormalities with the accelerated scans as they did with traditional images.
For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-Newsletter here.
To reach this determination, they examined two sets of knee MRI scans from 108 patients and created two sets of images -- one using the standard approach and one using the accelerated MRI artificial intelligence model. Based on their analysis, they determined that their 3T fastMRI protocol used four times less data and could produce an image quicker, requiring the patient to spend less time in the scanner.
The goal, Recht said, is to one day apply accelerated MRI to other organs, including the brain.
Breast MRI and Dense Breasts: A Closer Look at Early Findings from a New Prospective Trial
May 2nd 2024Supplemental breast MRI had a cancer detection rate (CDR) of 20/1000 and a positive predictive value (PPV) of 50 percent, according to preliminary findings from a prospective trial involving women with heterogeneously or very dense breasts.
New Literature Review Finds ChatGPT Effective in Radiology in 84 Percent of Studies
April 29th 2024While noting a variety of pitfalls with the chatbot ranging from hallucinations to improper citations, the review authors found the use of ChatGPT in radiology demonstrated “high performance” in 37 out of 44 studies.