ChatGPT 4.0: accurate, clear, relevant, and readable responses to frequently asked fertility patient questions
Revista Reproducción
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Keywords

infertility
artificial intelligence
ChatGPT
patient communication
counseling

How to Cite

Schapira, M., Montiveros, M., Di Biase, F., Formica Muntaner, C., Papier, S., & Glujovsky, D. (2025). ChatGPT 4.0: accurate, clear, relevant, and readable responses to frequently asked fertility patient questions. Revista Reproducción, 39(2), 12–17. https://doi.org/10.54778/rr.v39i2.78

Abstract

Objective: To evaluate the accuracy, clarity, relevance and readability of ChatGPT 4.0’s responses to frequently asked infertility questions. Materials and Methods: Cross-sectional study. Fifty frequently asked questions were collected from online patient forums. ChatGPT 4.0 generated responses using a standardized prompt (“as if ChatGPT were an infertility specialist, using the best available evidence”). Ten reproductive medicine specialists (5 senior, 5 junior) evaluated answers for accuracy, clarity, and relevance using Likert scales (1–5). Overall quality was assessed with the Global Quality Scale (GQS). Readability was determined with the Spanish Flesch-Kincaid index. Results: 94% of responses scored ≥3 in GQS (mean 3.6 ± 0.6). 62% were rated “very good” or “excellent”. Highest ratings were observed in emotional support (4.4–4.5), prognosis (4.2) and lifestyle (4.2–4.3). Infertility diagnosis showed lower accuracy (3.7). All specialists (100%) agreed ChatGPT could be a useful complementary tool for patients, when supervised, and 7 of 10 rated its overall performance as “very good” or “excellent”. Readability was 19.6 ± 4.2, equivalent to secondary school level. Conclusion: ChatGPT 4.0 provides clear and relevant responses, with acceptable accuracy, making it a potential complementary tool for initial infertility counseling. It does not replace medical consultation and requires professional oversight.

https://doi.org/10.54778/rr.v39i2.78
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References

World Health Organization. Infertility prevalence estimates, 1990–2021. Geneva: WHO; 2023.

Inhorn MC, Patrizio P. Infertility around the globe: new thinking on gender, reproductive technologies and global movements in the 21st century. Hum Reprod Update. 2015;21(4):411–26.

Pedro J, et al. Patients’ attitudes towards the use of artificial intelligence in reproductive medicine. Hum Reprod. 2022;37(11):2602–12.

Cascella M, et al. Evaluating the accuracy of ChatGPT in medical information: systematic review. J Med Internet Res. 2023;25:e48602.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Copyright (c) 2025 Melina Schapira, Micaela Montiveros, Fiamma Di Biase, Carolina Formica Muntaner, Sergio Papier, Demian Glujovsky

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