Ovarian Cancer Screening and AI

Starting soon · Not applicable

Conditions studied: Ovarian Cancer Screening Recommendations by Gynecologists

In brief

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.

Key facts

Study ID

NCT07503054

Run by

Charite University, Berlin, Germany

People needed

350

Starts

2026-03-27

Expected to finish

2026-04-30

Last updated by the study team

2026-03-31

Who can join

Age: 24 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• gynecologists in outpatient care who provide ovarian cancer screening to asymptomatic, average-risk women (not guideline consistent)

You may not qualify if…

• gynecologists in inpatient care
• gynecologist in outpatient care who do NOT provide ovarian cancer screening to asymptomatic, average-risk women (guideline consistent)

Where it is running

• Charité - Universitätsmedizin Berlin — Mitte, State of Berlin, Germany

Full record on ClinicalTrials.gov

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