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Comment on "An Artificial Intelligence Tool Used for Patient Selection in Cosmetic Surgery"
Kian Daneshi1,2, Abhishek Saha3, Hatan Mortada4,5
1School of Population Health and Medicine, University of Sheffield, Sheffield, UK.
Aesthetic Plastic Surgery
|August 6, 2025
Summary
Artificial intelligence (AI) in cosmetic surgery patient selection shows promise but requires methodological improvements. Future AI models need standardized psychometrics and patient outcomes for responsible clinical use.
Area of Science:
- Medical Informatics
- Plastic Surgery
- Artificial Intelligence
Background:
- This commentary critically evaluates the application of artificial intelligence (AI) for patient selection in cosmetic surgery, as presented in a recent study by Li et al.
- It acknowledges the potential of AI in aesthetic decision-making while highlighting significant concerns.
Discussion:
- Methodological limitations include the lack of subgroup analyses, overreliance on surgeon judgment, and insufficient outcome-based validation.
- Ethical issues such as data governance, surgeon cognitive bias, and the absence of psychological screening require careful consideration.
Key Insights:
- Current AI applications in cosmetic surgery patient selection may be limited by methodological and ethical shortcomings.
- There is a need to move beyond surgeon-centric evaluation towards patient-reported outcomes and validated psychometric assessments.
Outlook:
- Future AI models should integrate standardized psychometric tools and patient-centered outcomes for robust clinical validation.
- Responsible integration of AI in cosmetic surgery necessitates addressing data governance, bias, and psychological patient factors.
