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The exciting potential for ChatGPT in obstetrics and gynecology
Open accessAbstract
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.
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“Second, due to the nature of its training data [78], the information incorporated into ChatGPT may have delays and incompleteness [8,79].”
From Ethical Considerations of Using ChatGPT in Health Care (2023) · cites this paper as [79]
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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)
- 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)
- 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
- bronze
- doi.org
- 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
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