The Reading Room: NYU Langone and Facebook AI Partner for Faster MRIs
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.
Can Abbreviated Breast MRI Have an Impact in Assessing Post-Neoadjuvant Chemotherapy Response?
April 24th 2025New research presented at the Society for Breast Imaging (SBI) conference suggests that abbreviated MRI is comparable to full MRI in assessing pathologic complete response to neoadjuvant chemotherapy for breast cancer.
The Reading Room Podcast: Current Perspectives on the Updated Appropriate Use Criteria for Brain PET
March 18th 2025In a new podcast, Satoshi Minoshima, M.D., Ph.D., and James Williams, Ph.D., share their insights on the recently updated appropriate use criteria for amyloid PET and tau PET in patients with mild cognitive impairment.
New bpMRI Study Suggests AI Offers Comparable Results to Radiologists for PCa Detection
April 15th 2025Demonstrating no significant difference with radiologist detection of clinically significant prostate cancer (csPCa), a biparametric MRI-based AI model provided an 88.4 percent sensitivity rate in a recent study.
Could Ultrafast MRI Enhance Detection of Malignant Foci for Breast Cancer?
April 10th 2025In a new study involving over 120 women, nearly two-thirds of whom had a family history of breast cancer, ultrafast MRI findings revealed a 5 percent increase in malignancy risk for each second increase in the difference between lesion and background parenchymal enhancement (BPE) time to enhancement (TTE).
