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Artificial intelligence in anesthesia: comparison of the utility of ChatGPT v/s google gemini large language models in pre-anesthetic education: content, readability and sentiment analysis

Crossref DOI link: https://doi.org/10.1186/s12871-025-03451-x

Published Online: 2025-11-19

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

Authors

Sharma, Prachi

Sidhu, Bharti

Reddy, Ashwini

Saxena, Puja

Gupta, Ritu

Gill, Ravneet Kaur

Ray, Ananya

Chauhan, Rajeev
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Text and Data Mining valid from 2025-11-19

Version of Record valid from 2025-11-19
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Article History

Received: 8 June 2025

Accepted: 16 October 2025

First Online: 19 November 2025

Declarations

:

: The study conformed to the standards of the Declaration of Helsinki and was approved by the Institute Research Committee (AIMS/IRC-study 12/2024).Consent for publication: This prospective observational study took place at a tertiary care hospital from September to November 2024 after approval of the institute research committee (AIMS/IRC-study 12/2024). As this study did not involve direct participation of patients and due to its nature, formal ethics committee approval was not required. However, the research was conducted in full compliance with ethical standards, maintaining strict confidentiality and anonymity of all data. Consent by participating anesthesiologists was implied, and a detailed information sheet was also enclosed.

: Informed consent has been obtained from all the anesthesiologists participating in this study, including consent for publication.

: The authors declare no competing interests. The authors have no relevant financial or non-financial interests to disclose.

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