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

Theme Issue: ChatGPT and Generative Language Models in Medical Education (98) Natural Language Processing (793) Ontologies, Classifications, and Coding (267) Chatbots and Conversational Agents (621) Artificial Intelligence (1698) Generative Language Models Including ChatGPT (477)

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 (25) Tweetations (12) Metrics

Journals

  1. Oliński M, Krukowski K, Sieciński K. Bibliometric Overview of ChatGPT: New Perspectives in Social Sciences. Publications 2024;12(1):9 View
  2. Litake O, Park B, Tully J, Gabriel R. Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notes. Journal of the American Medical Informatics Association 2024;31(6):1404 View
  3. Chen J, Reddy A, Al-Sharif E, Shoji M, Kalaw F, Eslani M, Lang P, Arya M, Koretz Z, Bolo K, Arnett J, Roginiel A, Do J, Robbins S, Camp A, Scott N, Rudell J, Weinreb R, Baxter S, Granet D. Analysis of ChatGPT Responses to Ophthalmic Cases: Can ChatGPT Think Like an Ophthalmologist?. Ophthalmology Science 2024:100600 View
  4. Kim S. Research ethics and issues regarding the use of ChatGPT-like artificial intelligence platforms by authors and reviewers: a narrative review. Science Editing 2024;11(2):96 View
  5. Park S, Han K, Lee J. Conceptual review of outcome metrics and measures used in clinical evaluation of artificial intelligence in radiology. La radiologia medica 2024;129(11):1644 View
  6. van Buchem M, Kant I, King L, Kazmaier J, Steyerberg E, Bauer M. Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study. JMIR AI 2024;3:e60020 View
  7. Alhayan F, Himdi H. Ensemble learning approach for distinguishing human and computer-generated Arabic reviews. PeerJ Computer Science 2024;10:e2345 View
  8. Wang C. Human or Algorithm? The Visual Turing Test of AI-Generated Images. Journal of Multimedia Information System 2024;11(3):201 View
  9. Yang S, Chen S, Zhu H, Lin J, Wang X. A comparative study of thematic choices and thematic progression patterns in human-written and AI-generated texts. System 2024;126:103494 View
  10. Kayabaşı M, Köksaldı S, Durmaz Engin C. Evaluating the reliability of the responses of large language models to keratoconus-related questions. Clinical and Experimental Optometry 2024:1 View
  11. Phillips V, Kiryakoza F, Arefin S, Choudhary N, Garifullin R. ChatGPT versus Google Gemini: a comparison to evaluate patient education guide created on common neurological disorders. Discover Artificial Intelligence 2024;4(1) View
  12. Matalon J, Spurzem A, Ahsan S, White E, Kothari R, Varma M. Reader’s digest version of scientific writing: comparative evaluation of summarization capacity between large language models and medical students in analyzing scientific writing in sleep medicine. Frontiers in Artificial Intelligence 2024;7 View
  13. 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
  14. Zhou Z, Rizwan A, Rogoza N, Chung A, Kwan B. Differentiating between GPT-generated and human-written feedback for radiology residents. Current Problems in Diagnostic Radiology 2025 View
  15. Akgun M, Savasci M, Gunerbuyuk C, Gunara S, Oktenoglu T, Ozer A, Ates O. Battle of the authors: Comparing neurosurgery articles written by humans and AI. Journal of Clinical Neuroscience 2025;135:111152 View
  16. Sun J, Lv Z. Zero-shot detection of LLM-generated text via text reorder. Neurocomputing 2025;631:129829 View
  17. Doru B, Maier C, Busse J, Lücke T, Schönhoff J, Enax- Krumova E, Hessler S, Berger M, Tokic M. Detecting Artificial Intelligence–Generated Versus Human-Written Medical Student Essays: Semirandomized Controlled Study. JMIR Medical Education 2025;11:e62779 View
  18. Raitskaya L, Tikhonova E. Appliances of Generative AI-Powered Language Tools in Academic Writing: A Scoping Review. Journal of Language and Education 2024;10(4):5 View
  19. Moussa C, Altayyar S, Vergonjeanne M, Gelle T, Preux P. Validation of a generative artificial intelligence tool for the critical appraisal of articles on the epidemiology of mental health: Its application in the Middle East and North Africa. Journal of Epidemiology and Population Health 2025;73(2):202990 View
  20. Arbel Y, Gimmon Y, Shmueli L. Evaluating the Potential of Large Language Models for Vestibular Rehabilitation Education: A Comparison of ChatGPT, Google Gemini, and Clinicians. Physical Therapy 2025;105(4) View

Books/Policy Documents

  1. Xu H, Xue T, Liu D, Zhang F, Westin C, Kikinis R, O’Donnell L, Cai W. Foundation Models for General Medical AI. View

Conference Proceedings

  1. Ikoma D, Aoki E, Taniguchi T, Suzuki S, Ohkuma T. Companion Proceedings of the ACM Web Conference 2024. Automatic Design Summary Generation with Generative AI View
  2. Domínguez Hernández A, Krishna S, Perini A, Katell M, Bennett S, Borda A, Hashem Y, Hadjiloizou S, Mahomed S, Jayadeva S, Aitken M, Leslie D. The 2024 ACM Conference on Fairness, Accountability, and Transparency. Mapping the individual, social and biospheric impacts of Foundation Models View
  3. Pandita V, Mujawar A, Norbu T, Verma V, Patil P. 2024 5th International Conference for Emerging Technology (INCET). Text Origin Detection: Unmasking the Source – AI vs Human View
  4. Gupta S, Gupta D. 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). Detection and Classification of AI-Generated Text View