ArticleArchives of gynecology and obstetrics2024
Will I soon be out of my job? Quality and guideline conformity of ChatGPT therapy suggestions to patient inquiries with gynecologic symptoms in a palliative setting.
Article in Archives of gynecology and obstetrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed.
- Exploring the application of Artificial Intelligence in palliative care and its practical, technical and ethical considerations: a scoping review.BMC palliative care · 2026Article
- Exploring the potential of AI-powered applications for clinical decision-making in gynecologic oncology.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025Article
- Development and evaluation of large-language models (LLMs) for oncology: A scoping review.PLOS digital health · 2025Article
- AI-driven simplification of surgical reports in gynecologic oncology: A potential tool for patient education.Acta obstetricia et gynecologica Scandinavica · 2025Article
- Assessing the Quality and Reliability of ChatGPT's Responses to Radiotherapy-Related Patient Queries: Comparative Study With GPT-3.5 and GPT-4.JMIR cancer · 2025Article
- Analyzing the performance of ChatGPT in answering inquiries about cervical cancer.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025Article
- Advancements in Artificial Intelligence for Fetal Neurosonography: A Comprehensive Review.Journal of clinical medicine · 2024Review
- A Narrative Review on the Application of Large Language Models to Support Cancer Care and Research.Yearbook of medical informatics · 2024Review
- Exploring the landscape of AI-assisted decision-making in head and neck cancer treatment: a comparative analysis of NCCN guidelines and ChatGPT responses.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 · 2024Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe market and application possibilities for artificial intelligence are currently growing at high speed and are increasingly finding their way into gynecology. While the medical side is highly represented in the current literature, the patient's perspective is still lagging behind. Therefore, the aim of this study was to evaluate the recommendations of ChatGPT regarding patient inquiries about the possible therapy of gynecological leading symptoms in a palliative situation by experts.
methodsCase vignettes were constructed for 10 common concomitant symptoms in gynecologic oncology tumors in a palliative setting, and patient queries regarding therapy of these symptoms were generated as prompts for ChatGPT. Five experts in palliative care and gynecologic oncology evaluated the responses with respect to guideline adherence and applicability and identified advantages and disadvantages.
resultsThe overall rating of ChatGPT responses averaged 4.1 (5 = strongly agree; 1 = strongly disagree). The experts saw an average guideline conformity of the therapy recommendations with a value of 4.0. ChatGPT sometimes omits relevant therapies and does not provide an individual assessment of the suggested therapies, but does indicate that a physician consultation is additionally necessary.
conclusionsLanguage models, such as ChatGPT, can provide valid and largely guideline-compliant therapy recommendations in their freely available and thus in principle accessible version for our patients. For a complete therapy recommendation, an evaluation of the therapies, their individual adjustment as well as a filtering of possible wrong recommendations, a medical expert's opinion remains indispensable.
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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.