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Artificial intelligence in reproductive endocrinology: an in-depth longitudinal analysis of ChatGPTv4’s month-by-month interpretation and adherence to clinical guidelines for diminished ovarian reserve

Crossref DOI link: https://doi.org/10.1007/s12020-024-04031-8

Published Online: 2024-09-28

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Gurbuz, Tugba https://orcid.org/0000-0003-3555-3767
Gokmen, Oya https://orcid.org/0009-0004-6185-4381
Devranoglu, Belgin https://orcid.org/0000-0001-6911-2359
Yurci, Arzu https://orcid.org/0000-0003-4808-9019
Madenli, Asena Ayar https://orcid.org/0000-0003-0129-8710
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Text and Data Mining valid from 2024-09-28

Version of Record valid from 2024-09-28
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Article History

Received: 30 July 2024

Accepted: 3 September 2024

First Online: 28 September 2024

Compliance with ethical standards

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: The authors declare no competing interests.