Video from ISMRM 2023: Lawrence Tanenbaum on AI in MRI

Jun 8, 2023
2023 06 08 15 37 9839 Lawrence Tanenbaum 400

In an interview at the annual meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), Lawrence Tanenbaum, MD, of radiology services provider RadNet discusses how AI is changing the game in MR image reconstruction.

In addition, AI algorithms are speeding up workflows, and Tanenbaum tackled the question, "What can we expect from AI in the next year?"


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Images in an 18-year-old man with recurrent dislocations of the right shoulder. (A, B) Unenhanced coronal, (C) axial, and (D, E) sagittal deep learning super-resolution threefold parallel imaging -- accelerated turbo spin-echo MRI scans were obtained at 3-tesla field strength. (A) Coronal T2-weighted fat-suppressed (FS) and (B) coronal proton density (PD)-weighted MRI scans show a nondisplaced superior labral tear (arrows). (C) Axial proton density-weighted fat-suppressed, (D) sagittal T2-weighted fat-suppressed, and (E) sagittal T1-weighted MRI scans show continuation into a nondisplaced anteroinferior labral tear (arrows). All seven readers correctly diagnosed the arthroscopy-validated findings. (F) An arthroscopic photograph shows the anteroinferior labral tear (arrow). Image and caption courtesy of the RSNA.
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