Developing artificial intelligence tools for institutional review board pre-review: A pilot study on ChatGPT's accuracy and reproducibility.

Fukataki Y, Hayashi W, Nishimoto N, Ito YM

DOI: 10.1371/journal.pdig.0000695
Published: 2025 Jun
Container: PLOS digital health
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pdig.0000695,
  title = {Developing artificial intelligence tools for institutional review board pre-review: A pilot study on ChatGPT's accuracy and reproducibility.},
  author = {Fukataki Y and Hayashi W and Nishimoto N and Ito YM},
  year = {2025},
  journal = {PLOS digital health},
  doi = {10.1371/journal.pdig.0000695},
  url = {https://doi.org/10.1371/journal.pdig.0000695}
}

RIS

TY  - JOUR
TI  - Developing artificial intelligence tools for institutional review board pre-review: A pilot study on ChatGPT's accuracy and reproducibility.
AU  - Fukataki Y
AU  - Hayashi W
AU  - Nishimoto N
AU  - Ito YM
PY  - 2025
JO  - PLOS digital health
DO  - 10.1371/journal.pdig.0000695
UR  - https://doi.org/10.1371/journal.pdig.0000695
ER  -

APA

Y, F., W, H., N, N., & YM, I. (2025). Developing artificial intelligence tools for institutional review board pre-review: A pilot study on ChatGPT's accuracy and reproducibility.. PLOS digital health. https://doi.org/10.1371/journal.pdig.0000695

Source records

pubmed · retrieved 2026-09-26T01:12:43.808Z