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

Applications of AI (272) Generative Language Models Including ChatGPT (670) New Methods (1119) Research Methodology - AI (33) Reviews on Human Factors (73) Digital Health Reporting Standards, Quality and Transparency in e-Research (128) AI Governance and Policy (14)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68097, first published .
Critical Assessment of Large Language Models’ (ChatGPT) Performance in Data Extraction for Systematic Reviews: Exploratory Study

Critical Assessment of Large Language Models’ (ChatGPT) Performance in Data Extraction for Systematic Reviews: Exploratory Study

Critical Assessment of Large Language Models’ (ChatGPT) Performance in Data Extraction for Systematic Reviews: Exploratory Study

Authors of this article:

Hesam Mahmoudi1 Author Orcid Image ;   Doris Chang1 Author Orcid Image ;   Hannah Lee1 Author Orcid Image ;   Navid Ghaffarzadegan2 Author Orcid Image ;   Mohammad S Jalali1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Janoudi G, Uzun M, Disher T, Jurdana M, Fuzul E, Ivkovic J, Hutton B. Validating Loon Lens 1.0 for Autonomous Abstract Screening and Confidence-Guided Human-in-the-Loop Workflows in Systematic Reviews. Value in Health 2025 View