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

Spinal Cord Injury Rehabilitation (91) Urology (49) Generative Language Models Including ChatGPT (883) Foundation Models and Their Applications in AI (66) Responsible Health AI (105)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70339, first published .
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Use of ChatGPT for Urinary Symptom Management Among People With Spinal Cord Injury or Disease: Qualitative Study

Use of ChatGPT for Urinary Symptom Management Among People With Spinal Cord Injury or Disease: Qualitative Study

Authors of this article:

Bat-Zion Hose1, 2 Author Orcid Image ;   Amanda K Rounds2, 3 Author Orcid Image ;   Ishaan Nandwani2 Author Orcid Image ;   Deanna-Nicole Busog1 Author Orcid Image ;   Traber Davis Giardina4, 5 Author Orcid Image ;   Helen Haskell6 Author Orcid Image ;   Kelly M Smith7, 8 Author Orcid Image ;   Kristen E Miller1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Haskell H, Giardina T, Dolka I, McDonald K. Ten years on: how far have we come in patient engagement in diagnosis?. Diagnosis 2025;12(4):538 View
  2. Kopka M, Feufel M. Increasing Large Language Model Accuracy for Care-Seeking Advice Using Prompts Reflecting Human Reasoning Strategies in the Real World: Validation Study. JMIR Biomedical Engineering 2026;11:e88053 View
  3. Desai R, Saggu S, Panahi M, Nguyen K, Razavi Yeganeh P, Douglas O, Mussavi Rizi M, Fallah N, Chernesky J, Noonan V, Torres-Espín A. Can Large Language Models Answer Questions about Spinal Cord Injury? Risks, Challenges, and Opportunities—A Narrative Review. Neurotrauma Reports 2026;7 View