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

Responsible Health AI (70) mHealth in a Clinical Setting (763) Decision Support for Health Professionals (1599) Generative Language Models Including ChatGPT (762) Clinical Informatics (1386)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83640, first published .
Performance of Large Language Models Under Input Variability in Health Care Applications: Dataset Development and Experimental Evaluation

Performance of Large Language Models Under Input Variability in Health Care Applications: Dataset Development and Experimental Evaluation

Performance of Large Language Models Under Input Variability in Health Care Applications: Dataset Development and Experimental Evaluation

Authors of this article:

Saubhagya Joshi1 Author Orcid Image ;   Monjil Mehta2 Author Orcid Image ;   Sarjak Maniar2 Author Orcid Image ;   Mengqian Wang3 Author Orcid Image ;   Vivek Kumar Singh1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Saubhagya Joshi   1 , BEng, MEng ;   Monjil Mehta   2 , MS ;   Sarjak Maniar   2 , MS ;   Mengqian Wang   3 , PhD ;   Vivek Kumar Singh   1 , PhD

1 Library and Information Sciences, School of Communication & Information, Rutgers University, New Brunswick, NJ, United States

2 Rutgers Business School, Rutgers University, New Brunswick, NJ, United States

3 University of North Carolina, Chapel Hill, Chapel Hill, NC, United States

Corresponding Author:

  • Saubhagya Joshi, BEng, MEng
  • Library and Information Sciences, School of Communication & Information
  • Rutgers University
  • 4 Huntington St
  • New Brunswick, NJ 08901
  • United States
  • Phone: +1 (848) 932-7500
  • Email: srj96@scarletmail.rutgers.edu