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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

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;28(11):1630 View
  2. Peltonen L, Topaz M, Zhang Z. From Research to Practice in Days, not Decades: Why Leaders Must Act now. Journal of Medical Systems 2025;49(1) View
  3. Stuhlfauth V, Saheb Y, Bouzouina L. Mapping mobility sufficiency across planetary boundaries and wellbeing for all: findings from 18,000 studies. Environmental Research Communications 2026;8(3):031002 View
  4. 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