ArticleAmerican journal of obstetrics and gynecology2023
The exciting potential for ChatGPT in obstetrics and gynecology.
Article in American journal of obstetrics and gynecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 87 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Use of Artificial Intelligence by Patients for Understanding of Diagnosis of Urogynecologic Conditions and Its Role in Treatment Decisions
Artificial Intelligence in Education and Monitoring Women With Gestational Diabetes
Who cites it
87 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Applying transformer-based deep learning models in image-driven cancer diagnosis: a comprehensive bibliometric analysis of global research trends.Frontiers in oncology · 2026Pooled it
- Performance evaluation of large language models in real-world perinatal medication consultations: a cross-sectional study.International journal of clinical pharmacy · 2026Article
- ChatGPT in urogynecology: Comparing large language model responses to human experts.Acta obstetricia et gynecologica Scandinavica · 2026Article
- Understanding of Preeclampsia Risk Factors in Large Language Models Compared with a Validated Competing-Risks Model.Diagnostics (Basel, Switzerland) · 2026Article
- The Role of Large Language Models in Hormonal Contraception Consultation.Journal of clinical medicine · 2026Article
- AI as a Sparring Partner in Professional Settings: Counselors' Views on ChatGPT's Role and Potential in Pregnancy Termination Counseling.Archives of sexual behavior · 2026Article
- ChatGPT assisted generation of systematic review ideas in urooncology.Revista da Associacao Medica Brasileira (1992) · 2026Article
- Impacts of Sexual and Reproductive Health and Rights Misinformation in Digital Spaces on Human Rights Protection and Promotion: Scoping Review.JMIR infodemiology · 2025Article
- AI Decision-Making Performance in Maternal-Fetal Medicine: Comparison of ChatGPT-4, Gemini, and Human Specialists in a Cross-Sectional Case-Based Study.Journal of clinical medicine · 2025Article
- Accuracy and Completeness of Bard and Chat-GPT 4 Responses for Questions Derived from the International Consensus Statement on Endoscopic Skull-Base Surgery 2019.Journal of neurological surgery. Part B, Skull base · 2025Article
- Addressing Commonly Asked Questions in Urogynecology: Accuracy and Limitations of ChatGPT.International urogynecology journal · 2025Article
- Enhancing Adverse Event Reporting With Clinical Language Models: Inpatient Falls.Journal of advanced nursing · 2025Observational
- ChatGPT in Medical Education: Bibliometric and Visual Analysis.JMIR medical education · 2025Review
- Assessment of the validity of ChatGPT-3.5 responses to patient-generated queries following BPH surgery.Scientific reports · 2025Article
- Large language models and women's health: a digital companion for informed decision-making.Archives of gynecology and obstetrics · 2025Article
- A novel sequence-based transformer model architecture for integrating multi-omics data in preterm birth risk prediction.NPJ digital medicine · 2025Article
- Evaluating the utility of ChatGPT in addressing conceptual and non-conceptual questions related to urodynamic quality control and trace analysis.Scientific reports · 2025Article
- Developing and validating an artificial intelligence-based application for predicting some pregnancy outcomes: a multi-phase study protocol.Reproductive health · 2025Article
- Article
- Is there any room for ChatGPT AI bot in speech-language pathology?European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025Article
27 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
36924907What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.