Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51229, first published .
Comparisons of Quality, Correctness, and Similarity Between ChatGPT-Generated and Human-Written Abstracts for Basic Research: Cross-Sectional Study

Comparisons of Quality, Correctness, and Similarity Between ChatGPT-Generated and Human-Written Abstracts for Basic Research: Cross-Sectional Study

Comparisons of Quality, Correctness, and Similarity Between ChatGPT-Generated and Human-Written Abstracts for Basic Research: Cross-Sectional Study

Journals

  1. Cheng J. Applications of Large Language Models in Pathology. Bioengineering 2024;11(4):342 View
  2. Zhu L, Mou W, Hong C, Yang T, Lai Y, Qi C, Lin A, Zhang J, Luo P. The Evaluation of Generative AI Should Include Repetition to Assess Stability. JMIR mHealth and uHealth 2024;12:e57978 View
  3. Li K, Fernandez A, Schwartz R, Rios N, Carlisle M, Amend G, Patel H, Breyer B. Comparing GPT-4 and Human Researchers in Health Care Data Analysis: Qualitative Description Study. Journal of Medical Internet Research 2024;26:e56500 View
  4. Zhui L, Yhap N, Liping L, Zhengjie W, Zhonghao X, Xiaoshu Y, Hong C, Xuexiu L, Wei R. Impact of Large Language Models on Medical Education and Teaching Adaptations. JMIR Medical Informatics 2024;12:e55933 View
  5. 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
  6. 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