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Ovarian Cancer Screening and AI

NCT07503054 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 350

Last updated 2026-03-31

No results posted yet for this study

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.

Conditions

  • Ovarian Cancer Screening Recommendations by Gynecologists

Interventions

BEHAVIORAL

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.

BEHAVIORAL

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.

Sponsors & Collaborators

  • Max Planck Institute for Human Development

    collaborator OTHER

  • German Research Foundation

    collaborator OTHER

  • Charite University, Berlin, Germany

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
24 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-03-27
Primary Completion
2026-04-30
Completion
2026-04-30

Countries

  • Germany

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07503054 on ClinicalTrials.gov