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

Applications of AI (317) Generative Language Models Including ChatGPT (759) Clinical Information and Decision Making (2006) Machine Learning (2172) Imaging Informatics (318) Orthopedics (105)

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 (2) 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
  2. Boltaboyeva A, Baigarayeva Z, Imanbek B, Amangeldy B, Tasmurzayev N, Ozhikenov K, Alimbayeva Z, Alimbayev C, Karymsakova N. Architecting the Orthopedical Clinical AI Pipeline: A Review of Integrating Foundation Models and FHIR for Agentic Clinical Assistants and Digital Twins. Algorithms 2026;19(2):99 View