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Role of Artificial Intelligence and Machine Learning in Facial Aesthetic Surgery: A Systematic Review
Brooke Stephanian1, Sabin Karki1, Kirin Debnath2
1Indiana University School of Medicine, Indianapolis Indiana, USA.
Facial Plastic Surgery & Aesthetic Medicine
|November 26, 2024
Summary
Artificial intelligence (AI) and machine learning (ML) tools significantly enhance facial aesthetic surgery by improving diagnostic accuracy and predictive outcomes. These advanced technologies also refine patient counseling and treatment planning for better results.
Area of Science:
- Plastic Surgery
- Medical Informatics
- Computer-Aided Surgery
Background:
- Facial aesthetic surgery is increasingly integrating artificial intelligence (AI) and machine learning (ML) tools.
- A comprehensive analysis of the quality and application of these AI/ML tools is essential.
Approach:
- A systematic literature search was conducted across major databases (Medline, Embase, etc.) in February 2024.
- Original research on adult facial aesthetic surgery utilizing AI/ML tools was included, excluding lower-quality evidence.
- The analysis focused on diagnostic accuracy, predictive outcomes, patient counseling, and procedural scope.
Key Points:
- Out of 494 initial studies, 66 met the inclusion criteria for qualitative analysis.
- A majority of the included studies (63.6%) were assessed as "good" quality.
- AI and ML tools demonstrated improvements in diagnostic accuracy, predictive capabilities, and patient counseling.
Conclusions:
- AI and ML tools are valuable assets in facial aesthetic surgery.
- These technologies enhance treatment planning, diagnostic precision, and patient communication.
- The quality of AI/ML applications in this field is predominantly good to fair, indicating a positive trend.
