ArticleIn vivo (Athens, Greece)
Evaluation of ChatGPT's Potential in Tailoring Gynecological Cancer Therapies.
Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The role of large language models in the diagnosis and management of obstetric patients: a pilot feasibility study using simulated obstetric cases.Archives of gynecology and obstetrics · 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
- Personalized rTMS treatment recommendation with retrieval-augmented LLM reasoning.Brain informatics · 2025Article
- A comparative evaluation of publicly available large language models in the assessment of CTG traces according to the FIGO criteria.Archives of gynecology and obstetrics · 2025Article
- Can ChatGPT Provide Patient-Friendly and Reliable Information on Cervical Cancer Screening? A Study of ChatGPT-Generated Information in Polish.Medical science monitor : international medical journal of experimental and clinical research · 2025Article
- Application of large language models in disease diagnosis and treatment.Chinese medical journal · 2025Review
- A bibliometric analysis of artificial intelligence applied to cervical cancer.Frontiers in medicine · 2025Article
- The Role of Artificial Intelligence in Gynecologic Oncology Decision-Making: A Feasibility Study.Gynecologic and obstetric investigation · 2025Article
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Authors and funding
6 authors.
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Abstract
BACKGROUND/
aimDemographic change and increasing complexity of therapy decisions lead to a growing burden on the healthcare system, necessitating efforts to simplify and enhance the efficiency of patient care. The present study evaluates ChatGPT's ability to provide therapy recommendations for gynecological malignancies that are both in line with the local guidelines and individually tailored to the patient. PATIENTS AND
methodsSixteen patients with endometrial, cervical, and ovarian cancer who were treated in the gynecological clinic of the University Hospital Erlangen from January 2022 to August 2023 were included in the analysis. Data collected within clinical routine care were communicated to the chat-based AI model ChatGPT (version 3.5). ChatGPT's performance generating treatment plans were evaluated using an answer scoring system and descriptive analysis.
resultsAccording to the answer scoring system [range: -1 point (minimum) to 2 points (maximum)], ChatGPT demonstrated a good potential in generating therapy recommendations with an average score of 0.75 points for patients with ovarian cancer, 0.7 points for cervical and 1.5 points for endometrial cancer patients. The most common deductions in points were about incomplete therapy recommendations, whereas contraindicated treatment modalities were rarely suggested. Individual patient characteristics were regularly considered by ChatGPT. ChatGPT reliably indicated aftercare and provided detailed information on preventive measures as well as supportive treatment.
conclusionChatGPT is a promising tool for the generation of therapy suggestions for gynecological carcinomas with high flexibility in response to individual patient differences. At the current state, however, ChatGPT is not suitable for replacing expert panels.
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