This paper is in the following e-collection/theme issue:

Applications of AI (287) Generative Language Models Including ChatGPT (708) Clinical Information and Decision Making (1915) Machine Learning (2076) Imaging Informatics (302) Orthopedics (97)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69654, first published .
Enhancing Magnetic Resonance Imaging (MRI) Report Comprehension in Spinal Trauma: Readability Analysis of AI-Generated Explanations for Thoracolumbar Fractures

Enhancing Magnetic Resonance Imaging (MRI) Report Comprehension in Spinal Trauma: Readability Analysis of AI-Generated Explanations for Thoracolumbar Fractures

Enhancing Magnetic Resonance Imaging (MRI) Report Comprehension in Spinal Trauma: Readability Analysis of AI-Generated Explanations for Thoracolumbar Fractures

Authors of this article:

David C Sing1 Author Orcid Image ;   Kishan S Shah1 Author Orcid Image ;   Michael Pompliano1 Author Orcid Image ;   Paul H Yi2 Author Orcid Image ;   Calogero Velluto1 Author Orcid Image ;   Ali Bagheri1 Author Orcid Image ;   Robert K Eastlack1 Author Orcid Image ;   Stephen R Stephan1 Author Orcid Image ;   Gregory M Mundis Jr1 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Leiserowitz G, Mansfield J, MacDonald S, Jost M. Patient Attitudes Toward Ambient Voice Technology: Preimplementation Patient Survey in an Academic Medical Center. JMIR Medical Informatics 2025;13:e77901 View