ArticleInternational journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics2026
Leveraging artificial intelligence for evidence-based recommendations in uterine fibroid therapy: Addressing the unmet need in German healthcare-A clinical trial.
Article in International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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Who cites it
3 citing papers in PubMed.
- Development and Evaluation of an Augmented Artificial Intelligence Model for Urogynecology Queries.International urogynecology journal · 2026Article
- The Role of Large Language Models in the Promotion of Minimally Invasive Interventional Radiologic Methods in Gynecology and Obstetrics.Journal of clinical medicine · 2026Article
- Leveraging artificial intelligence for evidence-based recommendations in uterine fibroid therapy: Addressing the unmet need in German healthcare-A clinical trial.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the potential of an artificial intelligence (AI)-driven large language model, ChatGPT 4.0, to provide personalized, evidence-based treatment recommendations for uterine fibroids.
methodsChatGPT 4.0 was trained using evidence-based data from Uptodate and German medical literature. The algorithm generated individualized recommendations based on clinical characteristics and patient preferences. Usability and quality were assessed through questionnaires completed by 40 gynecologists and 45 women with fibroids.
resultsMost gynecologists found the algorithm user-friendly and comprehensive, with 15 expressing a willingness to integrate it into practice and 24 acknowledging its potential to enhance healthcare efficiency. Although only half believed it would improve patient outcomes, the tool was generally well received. Patients found the algorithm easy to understand and helpful for exploring treatment options, with the majority feeling it empowered informed discussions with their healthcare providers. A minority expressed dissatisfaction with usability or helpfulness.
conclusionChatGPT 4.0 offers a promising AI-driven tool for personalized fibroid management in the absence of formal guidelines. Although not a substitute for official recommendations, it could support clinical decision making and enhance patient education. Further integration with standardized guidelines and prospective trials is needed to optimize its clinical utility.
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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 Socratic graph.