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

Applications of AI (289) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1000) Generative Language Models Including ChatGPT (713) Artificial Intelligence (2144)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57319, first published .
Investigating the Classification of Living Kidney Donation Experiences on Reddit and Understanding the Sensitivity of ChatGPT to Prompt Engineering: Content Analysis

Investigating the Classification of Living Kidney Donation Experiences on Reddit and Understanding the Sensitivity of ChatGPT to Prompt Engineering: Content Analysis

Investigating the Classification of Living Kidney Donation Experiences on Reddit and Understanding the Sensitivity of ChatGPT to Prompt Engineering: Content Analysis

Authors of this article:

Joshua Nielsen1 Author Orcid Image ;   Xiaoyu Chen2 Author Orcid Image ;   LaShara Davis3 Author Orcid Image ;   Amy Waterman3 Author Orcid Image ;   Monica Gentili1 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Zoccali C, Floyd L, Cseprekal O, Eisenga M, Mirioglu S, Caravaca-Fontàn F, Mallamaci F. Artificial Intelligence-Driven Nephrology: The Role of Large Language Models in Kidney Care. American Journal of Nephrology 2025:1 View
  2. Tangri N, Cheungpasitporn W, Crittenden S, Fornoni A, Peralta C, Singh K, Usvyat L, Waterman A. Responsible Use of Artificial Intelligence to Improve Kidney Care. Journal of the American Society of Nephrology 2025 View
  3. Mansoor I, Abdullah M, Rizwan M, Fraz M. Reasoning with large language models in medicine: a systematic review of techniques, challenges and clinical integration. Health Information Science and Systems 2025;14(1) View