The Impact of AI-Powered Training on Gynecological Examination Anxiety and Satisfaction
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: AI-assisted education.
- Who it may be relevant to
- Registry conditions: Gynecological Examination, Artificial Intelligence (AI), Patient Satisfaction, Anxiety. Basic parameters: 18 years — 65 years · Female.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Center list to be confirmed — check the primary protocol.
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Digital Transformation in Women's Health: The Impact of AI-Powered Training on Gynecological Examination Anxiety and Satisfaction
Overview
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.
Interventions
- Behavioral AI-assisted education
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 exami
Primary outcome measures
- Women's anxiety levels [Time frame: through study completion, an average of 1 hour.]
- Women's satisfaction level [Time frame: through study completion, an average of 1 hour.]
Eligibility criteria
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
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Allocation
- Randomized
- Model
- Parallel assignment
- Masking
- Single blind
- Primary purpose
- Supportive care
Study locations
Center list to be confirmed — check the primary protocol.
Identifiers
NCT: NCT07599358 · Fenerbahce Uni