ChatGPT: An Evaluation of AI-Generated Responses to Commonly Asked Pregnancy Questions ()
ABSTRACT
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 assigned to the remaining 50% of
responses (5 were incomplete and 1 was incorrect). In regard to references, 58%
(7 out of 12) had deficiencies (5 had no references, 1 had a broken reference,
and 1 non-existent reference was provided). Conclusion: Our evaluation
of ChatGPT confirms prior concerns regarding both content and references. While
AI has enormous potential, it must be carefully evaluated before being accepted
as accurate and reliable for this purpose.
Share and Cite:
Wan, C. , Cadiente, A. , Khromchenko, K. , Friedricks, N. , Rana, R. and Baum, J. (2023) ChatGPT: An Evaluation of AI-Generated Responses to Commonly Asked Pregnancy Questions.
Open Journal of Obstetrics and Gynecology,
13, 1528-1546. doi:
10.4236/ojog.2023.139129.
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