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ChatGPT-3.5 Versus Google Bard: Which Large Language Model Responds Best to Commonly Asked Pregnancy Questions?

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  • 1Obstetrics and Gynecology, Hackensack Meridian Jersey Shore University Medical Center, Neptune, USA.

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|August 27, 2024
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Summary

Google Gemini (formerly Bard) outperformed ChatGPT-3.5 in answering pregnancy questions, providing more accurate responses and fewer reference errors. Both large language models require further evaluation for reliability in women's health information.

Keywords:
artificial intelligencebardchatgpt-3.5commonly asked pregnancy questionsgeminigoogle bardpregnancy

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Obstetrics and Gynecology

Background:

  • Large language models (LLMs) are increasingly used for health information, but their accuracy in pregnancy-related queries is unclear.
  • Evaluating the performance of LLMs like ChatGPT-3.5 and Google Gemini is crucial for ensuring reliable patient information.

Purpose of the Study:

  • To qualitatively compare the accuracy and reference verification of ChatGPT-3.5 and Google Gemini for common pregnancy questions.
  • To assess the reliability of these LLMs as sources of information for pregnant individuals.

Main Methods:

  • Twelve common pregnancy questions were posed to ChatGPT-3.5 and Google Gemini in August 2023.
  • Responses and references were graded individually and by consensus based on correctness, completeness, and verification against ACOG guidelines and PubMed evidence.
  • References were classified as verified, broken, irrelevant, non-existent, or missing.

Main Results:

  • Google Gemini achieved an 83% acceptable response rate (10/12), while ChatGPT-3.5 had a 58% acceptable rate (7/12).
  • ChatGPT-3.5 exhibited reference issues in 100% of its responses, whereas Google Gemini had discrepancies in only 8% (1/12).
  • ChatGPT-3.5's performance remained stable between May and August 2023, with approximately 50-58% acceptable responses.

Conclusions:

  • Google Gemini demonstrated superior performance over ChatGPT-3.5 in accuracy and reference integrity for pregnancy-related queries.
  • Significant issues with reference verification were noted for ChatGPT-3.5.
  • Both LLMs require further rigorous evaluation and vetting before being considered dependable resources for pregnant women.