ISSN: 2161-0711

Journal of Community Medicine & Health Education
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  • Research Article   
  • J Community Med Health Educ,
  • DOI: 10.4172/2161-0711.1000878

A Quality Analysis of Laparoscopic Donor Nephrectomy-related Information Disseminated by Artificial Intelligence Chatbots using Validated Tools

Matthew Wainstein1*, Isaac DeMoss1, Stephen Hong1, Mehdi Nayebpour2, Naoru Koizumi2 and Obi Ekwenna1
1Department of Urology, The University of Toledo Heath Science Campus, U.S.A
2Schar School of Policy and Government, George Mason University, U.S.A
*Corresponding Author : Matthew Wainstein, Department of Urology, The University of Toledo Heath Science Campus, U.S.A, Email: matthew.wainstein@rockets.utoledo.edu

Received Date: Jun 14, 2024 / Published Date: Jul 15, 2024

Abstract

Background: Artificial intelligence (AI) chatbots, such as ChatGPT and Bard, have become popular sources of medical information and are likely to be used by potential kidney donors seeking information. Despite their potential role in guiding patients’ inquiries, the ability of AI chatbots to provide quality information still needs to be further investigated. This study aims to assess and compare the quality of donor nephrectomy-related information provided by ChatGPT and Bard.
Methods: A set of questions regarding kidney donation was generated based on general information from the National Kidney Foundation and the United Network for Organ Sharing. The questions were then typed directly into ChatGPT and Google Bard, and the responses were recorded and assessed for eligibility criteria. Three reviewers utilized two validated tools for evaluating health information, the DISCERN and PEMAT-P tools, to grade information quality, understandability, and actionability.
Findings: A total of 40 of 42 screened responses were included in the study, with two responses excluded for not containing information relevant to donor nephrectomies. There were no significant differences between ChatGPT and Bard based on assessment with the DISCERN, PEMAT-P Understandability, and PEMAT-P Actionability tools. Performance on the DISCERN and PEMAT-P Actionability surveys was notably poor, while most of the responses were "understandable" based on the PEMAT-P Understandability tool.
Interpretation: Both ChatGPT and Bard provide relevant and understandable responses. However, the quality of information is generally poor, and neither chatbot provides "actionable" responses. While AI chatbots have the potential for use in responding to donor nephrectomy-related queries, caution should be used.

Keywords: Donor nephrectomy; Laparoscopic; Artificial intelligence; Chatbot; ChatGPT; BARD

Citation: Wainstein M, DeMoss I, Hong S, Nayebpour M, Koizumi N, et al. (2024) A Quality Analysis of Laparoscopic Donor Nephrectomy-related Information Disseminated by Artificial Intelligence Chatbots using Validated Tools. J Community Med Health Educ. 13: 878. Doi: 10.4172/2161-0711.1000878

Copyright: © 2024 Wainstein M. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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