An Artificial Intelligence Tool Used for Patient Selection in Cosmetic Surgery

Area of Science:

• Plastic Surgery
• Artificial Intelligence
• Medical Informatics

Background:

• Cosmetic surgery demand is rising, necessitating careful patient selection.
• Psychological assessment poses challenges for plastic surgeons.
• Artificial intelligence (AI) offers potential solutions for preoperative patient evaluation.

Purpose of the Study:

• To develop and validate an AI-based tool for cosmetic surgery patient selection.
• To assess the accuracy and reliability of AI in identifying suitable surgical candidates.
• To provide surgeons with a practical tool for informed patient selection.

Main Methods:

• An AI tool was developed using the XGBoost algorithm, informed by surgeon expertise.
• 37 patients were evaluated by the AI system and two senior plastic surgeons.
• Clinical validation assessed the AI's agreement with surgeon assessments.

Main Results:

• High agreement was observed between the AI tool and surgeons (73% concordance on suitability).
• Strong positive correlations (r > 0.879) were found between AI and surgeon assessments.
• The AI tool demonstrated high accuracy in patient selection for cosmetic surgery.

Conclusions:

• The first smartphone-based AI tool for cosmetic surgery patient evaluation has been developed.
• This AI tool supports surgeons in making effective and informed patient selection decisions.
• Clinical validation confirmed the AI tool's strong performance and reliability.