CoChat
Sign Up
Cited by 234Artificial Intelligence in Healthcare and EducationArtificial Intelligence in HealthcareArtificial Intelligence Applications

The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.

The exciting potential for ChatGPT in obstetrics and gynecology

Open access
Grünebaum, Amos, Chervenak, Joseph, Pollet, Susan L., Katz, Adi, Chervenak, Frank A.·2023·American Journal of Obstetrics and Gynecology
DOI 10.1016/j.ajog.2023.03.009
Open this paper in CoChat — free accountOpen PDF

Abstract

Natural language processing-the branch of artificial intelligence concerned with the interaction between computers and human language-has advanced markedly in recent years with the introduction of sophisticated deep-learning models. Improved performance in natural language processing tasks, such as text and speech processing, have fueled impressive demonstrations of these models' capabilities. Perhaps no demonstration has been more impactful to date than the introduction of the publicly available online chatbot ChatGPT in November 2022 by OpenAI, which is based on a natural language processing model known as a Generative Pretrained Transformer. Through a series of questions posed by the authors about obstetrics and gynecology to ChatGPT as prompts, we evaluated the model's ability to handle clinical-related queries. Its answers demonstrated that in its current form, ChatGPT can be valuable for users who want preliminary information about virtually any topic in the field. Because its educational role is still being defined, we must recognize its limitations. Although answers were generally eloquent, informed, and lacked a significant degree of mistakes or misinformation, we also observed evidence of its weaknesses. A significant drawback is that the data on which the model has been trained are apparently not readily updated. The specific model that was assessed here, seems to not reliably (if at all) source data from after 2021. Users of ChatGPT who expect data to be more up to date need to be aware of this drawback. An inability to cite sources or to truly understand what the user is asking suggests that it has the capability to mislead. Responsible use of models like ChatGPT will be important for ensuring that they work to help but not harm users seeking information on obstetrics and gynecology.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ajog.2023.03.009

Cites

58 of 58 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 58 references

Research works printed but not linked: 3

  1. Richards EMF, Giorgione V, Stevens O, Thilaganathan B. Low-dose aspirin for the prevention of superimposed preeclampsia in women with chronic hypertension: a systematic review and meta-analysis. Am J Obstet Gynecol [In press].
  2. 2022, ACOG committee opinion, number 819, Obstet Gynecol, 137, e34
  3. Kitamura FC. ChatGPT is shaping the future of medical writing but still requires human judgment. Radiology [In press].

Cited by

Sorted by citations

Items 101–200 of 234

Related

See all

Metadata

Authors
Grünebaum, A., Chervenak, J., Pollet, S. L., Katz, A., & Chervenak, F. A.
Affiliations
  • Albert Einstein College of Medicine (US)
  • Lenox Hill Hospital (US)
ORCID
Venue
American Journal of Obstetrics and Gynecology
Publisher
Elsevier BV
Published
2023-06
Volume
228
Issue
6
Pages
696-705
ISSN
0002-9378 (ISSN-L)
DOI
10.1016/j.ajog.2023.03.009
OpenAlex
W4324370593
Cited by
234
References
58
Citations by year
2026: 22 · 2025: 60 · 2024: 77 · 2023: 74
FWCI
9.28
Type
journal article
Language
en
Open access
Licence
Locations
  • American Journal of Obstetrics and Gynecology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
Keywords
ChatGPT, generative AI, natural language processing, obstetrics and gynecology, medical information retrieval, misinformation, responsible AI use, medical education
MeSH terms
Artificial Intelligence, Awareness, Educational Status, Female, Gynecology, Humans, Obstetrics, Pregnancy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review