Enterprise AI Analysis
Research trends of global artificial intelligence application in obstetrics and gynecology from 1999 to 2025: a bibliometric analysis based on web of science
This bibliometric analysis reveals a rapid and consistent upward trend in AI applications in obstetrics and gynecology from 1999 to 2025. 926 articles were selected. Key research areas include AI-assisted diagnosis and treatment, health management, and robotic surgery. China (283 publications) and the United States (228 publications) lead in research output. 'Machine learning' is the most prevalent keyword (184 occurrences). The integration of AI with obstetrics and gynecology is anticipated to become a pivotal trend, offering substantial benefits and fostering innovation.
Executive Impact Summary
Understand the scale and trajectory of AI adoption in obstetrics and gynecology, highlighting key growth indicators and leadership areas.
0
Total Publications (1999-2025)
China
Top Publishing Country
0
Average Annual Growth (2020-2024)
2024 (204 articles)
Peak Publication Year
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
The study utilized a systematic literature screening process from the Web of Science Core Collection (WoSCC) to ensure data credibility and influence. Initial retrieval identified 1008 publications, which were then refined to 926 articles after excluding proceeding papers, retracted publications, and duplicates. This rigorous process ensured a high-quality dataset for bibliometric analysis.
Enterprise Process Flow
Records retrieved from WoSCC
→
Number of publications (n=1008)
→
Excluded: Proceeding Paper (16); Retracted Publication (5)
→
Duplicated detected articles (61)
→
Studies identified (n=926)
Analysis of keywords and publication clusters revealed three primary areas of focus: AI-assisted diagnosis and treatment, AI-driven health management, and robotic surgery in obstetrics and gynecology. The most frequent keywords included 'machine learning', 'risk', 'women', 'artificial intelligence', and 'labor'. 'Pregnancy' had the highest burst intensity, with 'resistance', 'induction', 'classification', and 'prediction' recently emerging as high-intensity keywords.
184
Top Keyword: Machine Learning Occurrences in Publications
The research highlights strong international collaboration, with China (283 publications) and the United States (228 publications) leading in output. The University of California System (28 publications), Harvard University (22 publications), and the University of Texas System (21 publications) are top institutional contributors. Despite established partnerships, there is significant potential for enhancing cross-border collaborations to accelerate research progress.
| Top Countries (Publication Volume) | Top Institutions (Publication Volume) |
|---|---|
|
|
AI offers significant advantages in disease screening and diagnosis, especially for gynecological tumors and prenatal assessments. It has achieved 90% accuracy in cervical cell pathological analysis, enhanced lesion segmentation (up to 96% accuracy), and improved diagnostic accuracy for serous tubal intraepithelial carcinoma by 10%. AI also aids in predicting preterm birth (85% accuracy) and gestational hypertension (88% accuracy).
AI in Gynecological Diagnostics
AI systems, leveraging machine learning and deep learning, are transforming early detection and diagnostic accuracy in obstetrics and gynecology. For instance, the GAID model achieved an 87% accuracy rate in diagnosing various gynecological diseases. In prenatal screening, AI-enhanced ultrasound boasts a 96% detection rate for Down syndrome, while predictive models forecast ovarian cancer risk with an impressive AUC of 0.95. These advancements significantly improve healthcare quality and patient outcomes by enabling more precise and earlier interventions.
Key Benefit: Enhanced diagnostic accuracy and early disease detection lead to improved patient outcomes and personalized care.
Robotic surgery in obstetrics and gynecology has advanced significantly since its first use in 1988, with FDA approval for gynecologic oncology procedures in 2005. The Da Vinci system, widely adopted, offers high-definition 3D operative views, enhanced dexterity, and tremor filtration, allowing precise surgical manipulation. Robotic systems have shown reduced intraoperative blood loss, lower complication rates, and shorter hospital stays compared to traditional open surgery, making them valuable for malignant neoplasm treatment.
1988
Year of First Robotic Gynecological Procedure
Estimate Your AI Transformation ROI in Healthcare
See how AI could impact your healthcare organization's efficiency and cost savings, especially in areas like diagnostics and administrative tasks.
Annual Cost Savings
$0
Hours Reclaimed Annually
0
Your AI Implementation Roadmap for OB/GYN
A strategic phased approach to integrating AI into your obstetrics and gynecology practices for maximum impact and efficiency.
Phase 1: Discovery & Strategy
Conduct a comprehensive audit of existing OB/GYN workflows, data infrastructure, and organizational AI readiness. Define clear objectives and a tailored AI strategy, focusing on high-impact areas like prenatal screening or gynecological cancer diagnostics.
Phase 2: Pilot & Proof-of-Concept
Implement AI solutions in a controlled pilot environment, focusing on a specific use case such as AI-assisted cervical cytology or a health management tool for PCOS. Validate performance and gather initial feedback from clinical staff.
Phase 3: Integration & Scaling
Expand successful AI pilots across relevant OB/GYN departments, integrating solutions with existing hospital information systems and clinical workflows. Ensure robust data governance, patient privacy (HIPAA compliance), and ethical AI deployment.
Phase 4: Optimization & Advanced Features
Continuously monitor and optimize AI model performance, incorporating new data from patient outcomes and research. Explore advanced features like integration with robotic surgery platforms or predictive analytics for personalized fertility treatments to maximize long-term value and clinical impact.
Ready to Transform Your Operations with AI?
Leverage cutting-edge AI insights to drive innovation and efficiency in your organization. Our experts are ready to guide you.
Ready to Get Started?
Book Your Free Consultation.
Let's Discuss Your AI Strategy!
Lets Discuss Your Needs
Select a Date
Sun
Mon
Tue
Wed
Thu
Fri
Sat