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

Generative Language Models Including ChatGPT (708) Machine Learning (2076) Artificial Intelligence (2129) Natural Language Processing (917) New Methods (1134) Clinical Informatics (1325) Development and Evaluation of Research Methods, Instruments and Tools (744) Methods and Instruments in Medical Informatics (189) Digital Health Reviews (1724) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67488, first published .
Accuracy of Large Language Models for Literature Screening in Thoracic Surgery: Diagnostic Study

Accuracy of Large Language Models for Literature Screening in Thoracic Surgery: Diagnostic Study

Accuracy of Large Language Models for Literature Screening in Thoracic Surgery: Diagnostic Study

Authors of this article:

Zhang-Yi Dai1 Author Orcid Image ;   Fu-Qiang Wang1 Author Orcid Image ;   Cheng Shen1 Author Orcid Image ;   Yan-Li Ji1 Author Orcid Image ;   Zhi-Yang Li1 Author Orcid Image ;   Yun Wang1 Author Orcid Image ;   Qiang Pu1 Author Orcid Image
Article Authors Cited by (7) Tweetations (1) Metrics

Journals

  1. Colangelo M, Guizzardi S, Meleti M, Calciolari E, Galli C. Performance Comparison of Large Language Models for Efficient Literature Screening. BioMedInformatics 2025;5(2):25 View
  2. Huang S, Wen C, Bai X, Li S, Wang S, Wang X, Yang D. Exploring the Application Capability of ChatGPT as an Instructor in Skills Education for Dental Medical Students: Randomized Controlled Trial. Journal of Medical Internet Research 2025;27:e68538 View
  3. Xu S, Zhao Z, Liu X, Meng X. A comparative study of screening performance between abstrackr and GPT models: Systematic review and contextual analysis. BMC Medical Informatics and Decision Making 2025;25(1) View
  4. Shen J, Luo Z, Jia D, Wang S, Sun F, Wu J. Large language model enhanced framework for systematic reviews and meta-analyses. BMJ Digital Health & AI 2025;1(1):e000017 View
  5. Harasgama S, Pearce H, Appel C, Loftus L, Painter H, Kuhn I, Karpusheff J, Ceesay A, Ford J. Artificial intelligence tools for automating evidence synthesis: A scoping review (Preprint). Journal of Medical Internet Research 2025 View
  6. Liu G, Ma H, Pei R, Chen B, Yang Z, Li S, Lei L, Wang A, Tang X, Su C, Gu J, Sheng Y, Piao M. Within-person associations between psychological and contextual factors and dietary lapse in adults: a machine learning–assisted systematic review and meta-analysis. Annals of Behavioral Medicine 2025;59(1) View
  7. 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