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

Generative Language Models Including ChatGPT (311) Epublishing and Open Access (86) Natural Language Processing (692) Artificial Intelligence (1371) Machine Learning (1465) Chatbots and Conversational Agents (531) Ethics, Privacy, and Legal Issues (479) Surgery, Trauma and Surgical Sciences (144)

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 (3) Tweetations Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.