Artificial Intelligence Screening for Body Dysmorphic Disorder in Aesthetic Surgery: Improving Patient Safety and Outcomes

This observational study evaluates an AI-powered screening tool for Body Dysmorphic Disorder (BDD) in patients seeking elective aesthetic surgery. The study is designed to assess the effectiveness of the AI system in identifying individuals at risk for BDD, facilitating timely psychological interventions, and improving surgical outcomes.

Study Overview:

Study Population and Inclusion Criteria: Patients aged 18 and older seeking elective cosmetic surgery at a solo practice are included. All participants complete a comprehensive AI-based risk assessment, which includes the Body Dysmorphic Disorder Questionnaire (BDDQ) integrated within the AI system.

AI-Based Risk Assessment: The AI system utilizes data from the BDDQ, along with demographic and psychological factors, to generate a risk score for BDD. This risk score informs the clinical decision-making process, particularly in determining the eligibility for surgery and the need for psychological intervention.

Data Collection and Management: Data is collected through a secure online platform where participants complete the necessary questionnaires. The AI system analyzes the data to generate individualized risk profiles. The study implements rigorous quality assurance processes, including automated data validation checks and source data verification, to ensure the reliability and accuracy of the data.