The Impact of AI-Powered Training on Gynecological Examination Anxiety and Satisfaction

Gynecological cancers, particularly cervical, ovarian, and endometrial cancers, pose a global problem. Cervical cancers are quite common worldwide, and this rate is even higher in developing countries. Cervical cancers are easily treatable when detected early, and screening is quite easy. Diagnosis is routinely made through human papillomavirus (HPV) testing and cytological screening. Eliminating anxiety, fear, and uncertainty about gynecological examinations makes the examination process easier, thus enabling early diagnosis and treatment of diseases. Keeping up with developing and changing technology and using it to improve women's health is an undeniable change in recent times. This study aims to determine the effect of an AI-assisted informational training program on women's anxiety and satisfaction levels regarding gynecological examinations.

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Key information

Conditions

Gynecological Examination Anxiety Anxiety Disorders Artificial Intelligence (AI) Behavior Health Behavior Mental Disorders Patient Satisfaction Treatment Adherence and Compliance

Age range

18 year–65 year

Sex eligibility

Female

Study type

Interventional

Phase

Not applicable

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

Applying to the outpatient clinic for a gynecological examination
Being between 18-65 years of age
Agreeing to participate in the study

Exclusion criteria

Communication barrier
Having a psychological diagnosis,
Being pregnant

Treatment and study plan

AI-assisted education

Behavioral

As an initiative, ChatGPT, one of the most commonly used artificial intelligence tools, was asked to prepare a text to provide women with detailed information before gynecological examinations. This text was evaluated by three gynecologists specializing in the field, and necessary adjustments were made. Based on this text, ChatGPT was asked to generate visuals for the relevant text. Using these visuals, a 4.13-minute video was created via Canva to inform patients before their gynecological examinations. Subtitles were added to the video, considering the potential noise level. Women randomly assigned to the intervention group will be shown the video before their examinations.

Primary outcomes

Women's anxiety levels

Time frame: through study completion, an average of 1 hour.

This study aims to investigate the effect of an AI-assisted training intervention on women's anxiety levels during gynecological examinations. The Gynecological Examination Anxiety Scale will be administered before and after the gynecological examination. The scale consists of 20 items and is divided into 5 sub-dimensions: healthcare personnel approach, healthcare personnel experience, negative experiences, hygienic reasons, and individual attitudes. The Cronbach's Alpha coefficient of the scale was determined to be 0.867 (Demirtop, 2014).While there are no items that are reverse-scored on the scale, a high score indicates high anxiety.
Women's satisfaction level

Time frame: through study completion, an average of 1 hour.

The Outpatient Patient Satisfaction Scale, developed by Kevenk, Kantas-Yilmaz, and Ozturk, consists of 26 items and 4 dimensions: examination, diagnosis and treatment process, physical environment, appointment process, and communication. The Cronbach's Alpha coefficient of the scale was determined to be 0.947 (Kevenk, Kantas-Yilmaz, and Ozturk, 2021). An increase in the score obtained from the scale indicates increased satisfaction.

Sponsors and collaborators

Lead sponsor

Fenerbahce University

Other

Registry information

Official study title

Digital Transformation in Women's Health: The Impact of AI-Powered Training on Gynecological Examination Anxiety and Satisfaction

Important dates

Study start: 2026
Primary completion: 2026
Study completion: 2026
First posted: May 20, 2026
Registry last updated: May 20, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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Completed