%0 Journal Article %T ChatGPT: An Evaluation of AI-Generated Responses to Commonly Asked Pregnancy Questions %A Christopher Wan %A Angelo Cadiente %A Keren Khromchenko %A Natalie Friedricks %A Rima A. Rana %A Jonathan D. Baum %J Open Journal of Obstetrics and Gynecology %P 1528-1546 %@ 2160-8806 %D 2023 %I Scientific Research Publishing %R 10.4236/ojog.2023.139129 %X Background: A recent assessment of ChatGPT on a variety of obstetric and gynecologic topics was very encouraging. However, its ability to respond to commonly asked pregnancy questions is unknown. Reference verification needs to be examined as well. Purpose: To evaluate ChatGPT as a source of information for commonly asked pregnancy questions and to verify the references it provides. Methods: Qualitative analysis of ChatGPT was performed. We queried ChatGPT Version 3.5 on 12 commonly asked pregnancy questions and asked for its references. Query responses were graded as ¡°acceptable¡± or ¡°not acceptable¡± based on correctness and completeness in comparison to American College of Obstetricians and Gynecologists (ACOG) publications, PubMed-indexed evidence, and clinical experience. References were classified as ¡°verified¡±, ¡°broken¡±, ¡°irrelevant¡±, ¡°non-existent¡± or ¡°no references¡±. Review and grading of responses and references were performed by the co-authors individually and then as a group to formulate a consensus. Results: In our assessment, a grade of acceptable was given to 50% of responses (6 out of 12 questions). A grade of not acceptable was %K AI (Artificial Intelligence) %K ChatGPT %K Pregnancy %U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=127693