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Ovarian Cancer Screening and AI
Sponsor: Charite University, Berlin, Germany
Summary
Gynecologists frequently overestimate the benefits and safety of ovarian cancer screening. AI-supported discussions may help correct these misperceptions. This study tests whether an AI-guided conversation about the evidence on ovarian cancer screening can improve gynecologists' knowledge and reduce non-evidence-based screening recommendations, compared with a control AI discussion on ovarian cancer prevalence.
Official title: AI on Ovarian Cancer Screening Attitudes in Gynecologists
Key Details
Gender
All
Age Range
24 Years - Any
Study Type
INTERVENTIONAL
Enrollment
350
Start Date
2026-03-27
Completion Date
2026-04-30
Last Updated
2026-03-31
Healthy Volunteers
No
Interventions
ChatGPT - Control
Three-turn conversation; discusses ovarian cancer risk and epidemiology; avoids screening topics; concise responses (5-8 sentences). Mode of Delivery: Online chat interface; participant interacts directly with ChatGPT.
ChatGPT - Evidence-Based Screening Discussion
Three-turn conversation; asks participants about screening rationale; provides evidence-based info on benefits/harms, trial data, guideline positions; concise responses (5-8 sentences). Mode of Delivery: Online chat interface; participant interacts directly with ChatGPT.
Locations (1)
Charité - Universitätsmedizin Berlin
Mitte, State of Berlin, Germany