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

Generative Language Models Including ChatGPT (478) Epublishing and Open Access (95) Natural Language Processing (795) Artificial Intelligence (1704) Machine Learning (1719) Chatbots and Conversational Agents (623) Ethics, Privacy, and Legal Issues (545) Surgery, Trauma and Surgical Sciences (164)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52001, first published .
Assessing the Reproducibility of the Structured Abstracts Generated by ChatGPT and Bard Compared to Human-Written Abstracts in the Field of Spine Surgery: Comparative Analysis

Assessing the Reproducibility of the Structured Abstracts Generated by ChatGPT and Bard Compared to Human-Written Abstracts in the Field of Spine Surgery: Comparative Analysis

Assessing the Reproducibility of the Structured Abstracts Generated by ChatGPT and Bard Compared to Human-Written Abstracts in the Field of Spine Surgery: Comparative Analysis

Authors of this article:

Hong Jin Kim1 Author Orcid Image ;   Jae Hyuk Yang2 Author Orcid Image ;   Dong-Gune Chang1 Author Orcid Image ;   Lawrence G Lenke3 Author Orcid Image ;   Javier Pizones4 Author Orcid Image ;   René Castelein5 Author Orcid Image ;   Kota Watanabe6 Author Orcid Image ;   Per D Trobisch7 Author Orcid Image ;   Gregory M Mundis Jr8 Author Orcid Image ;   Seung Woo Suh9 Author Orcid Image ;   Se-Il Suk1 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

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  1. Barrot J. Leveraging Google Gemini as a Research Writing Tool in Higher Education. Technology, Knowledge and Learning 2025;30(1):593 View
  2. Chou W, Chow J. Enhancing English abstract quality for non-English speaking authors using ChatGPT: A comparative study of Taiwan, Japan, China, and South Korea with slope graphs. Medicine 2024;103(40):e39796 View
  3. Kim H, Yoon P, Yoon J, Kim H, Choi Y, Park S, Moon J. Discrepancies in ChatGPT’s Hip Fracture Recommendations in Older Adults for 2021 AAOS Evidence-Based Guidelines. Journal of Clinical Medicine 2024;13(19):5971 View
  4. Diel A, Lalgi T, Schröter I, MacDorman K, Teufel M, Bäuerle A. Human performance in detecting deepfakes: A systematic review and meta-analysis of 56 papers. Computers in Human Behavior Reports 2024;16:100538 View
  5. Li F, Yang Y. Impact of Artificial Intelligence–Generated Content Labels On Perceived Accuracy, Message Credibility, and Sharing Intentions for Misinformation: Web-Based, Randomized, Controlled Experiment. JMIR Formative Research 2024;8:e60024 View
  6. Kunze K, Gerhold C, Dave U, Abunnur N, Mamonov A, Nwachukwu B, Verma N, Chahla J. Large Language Model Use Cases in Health Care Research Are Redundant and Often Lack Appropriate Methodological Conduct: A Scoping Review and Call for Improved Practices. Arthroscopy: The Journal of Arthroscopic & Related Surgery 2025 View