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

Pilot studies (ehealth) (355) Digital Health Reporting Standards, Quality and Transparency in e-Research (151) Formative Evaluation of Digital Health Interventions (3481) Research Methodology - AI (51) Generative Language Models Including ChatGPT (830) Applications of AI (349) Responsible Health AI (88)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68666, first published .
Evaluating a Customized Version of ChatGPT for Systematic Review Data Extraction in Health Research: Development and Usability Study

Evaluating a Customized Version of ChatGPT for Systematic Review Data Extraction in Health Research: Development and Usability Study

Evaluating a Customized Version of ChatGPT for Systematic Review Data Extraction in Health Research: Development and Usability Study

Authors of this article:

Jayden Sercombe1 Author Orcid Image ;   Zachary Bryant1 Author Orcid Image ;   Jack Wilson1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

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  1. Goel P, Weber R. Measuring Interpretability: A Systematic Literature Review of Interpretability Measures in Artificial Intelligence. International Journal on Artificial Intelligence Tools 2026;35(02) View
  2. Liu J, Ding X, Gan Y. AI-powered methods for psychological assessment in adolescence psychological disorders: A systematic review and meta-analysis. Clinical Psychology Review 2026;126:102728 View