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

Theme Issue: ChatGPT and Generative Language Models in Medical Education (86) Natural Language Processing (706) Ontologies, Classifications, and Coding (243) Chatbots and Conversational Agents (543) Artificial Intelligence (1421) Generative Language Models Including ChatGPT (325)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48904, first published .
Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study

Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study

Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study

Authors of this article:

Wenxiong Liao1 Author Orcid Image ;   Zhengliang Liu2 Author Orcid Image ;   Haixing Dai2 Author Orcid Image ;   Shaochen Xu2 Author Orcid Image ;   Zihao Wu2 Author Orcid Image ;   Yiyang Zhang1 Author Orcid Image ;   Xiaoke Huang1 Author Orcid Image ;   Dajiang Zhu3 Author Orcid Image ;   Hongmin Cai1 Author Orcid Image ;   Quanzheng Li4 Author Orcid Image ;   Tianming Liu2 Author Orcid Image ;   Xiang Li4 Author Orcid Image
Article Authors Cited by (16) Tweetations (12) Metrics

Wenxiong Liao   1 , PhD ;   Zhengliang Liu   2 , PhD ;   Haixing Dai   2 , PhD ;   Shaochen Xu   2 , PhD ;   Zihao Wu   2 , PhD ;   Yiyang Zhang   1 , MS ;   Xiaoke Huang   1 , MS ;   Dajiang Zhu   3 , PhD ;   Hongmin Cai   1 , PhD ;   Quanzheng Li   4 , PhD ;   Tianming Liu   2 , PhD ;   Xiang Li   4 , PhD

1 School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

2 School of Computing, University of Georgia, Athens, GA, United States

3 Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX, United States

4 Department of Radiology, Massachusetts General Hospital, Boston, MA, United States

Corresponding Author: