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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

Journals

  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
  3. Mortezaagha P, Shaw J, Sun B, Rahgozar A. From chaos to clarity: schema-constrained AI for auditable biomedical evidence extraction from full-text PDFs. BMC Medical Research Methodology 2026 View
  4. Vivekanantha P, Kahlon H, Balogun O, Bouchard M, de Sa D, Ayeni O, Kay J. Automated data extraction for systematic reviews using GPT‐5.2 and Google Gemini Pro 3: A dual‐large language model approach in orthopaedic research. Knee Surgery, Sports Traumatology, Arthroscopy 2026 View
  5. Oami T, Okada Y, Maeda K, Nakada T. Performance of large language models and prompt engineering strategies for data extraction in systematic reviews. Frontiers in Digital Health 2026;8 View
  6. Bernal-Córdoba C, Valldecabres A, Borona-Valencia M, Canales-Muñoz O, Silva-del-Río N. A rule-based large language model screening framework for evidence synthesis in animal health: Feasibility evaluation in a veterinary scoping review. Preventive Veterinary Medicine 2026;254:106908 View