Can AI Overcome Subjectivity in Aesthetic Dermatology Evaluations?

by Haroon Ahmad, MD 2025-05-31 00:00
PhysicianCosmetic

🔍 Key Finding

AI shows promise in providing objective evaluations in aesthetic dermatology but is hindered by biased datasets, inconsistent evaluation methods, and a lack of standardized assessment protocols.

🔬 Methodology Overview

  • Design: Comprehensive review of AI applications in dermatology, focusing on diagnostic and aesthetic fields.

  • Data Sources: Analysis of traditional methods (subjective surveys, hardware devices) and emerging AI technologies.

  • Evaluation: Comparison of AI’s potential against limitations such as dataset bias, subjective assessments, and hardware variability.

📊 Evidence

  • AI achieved dermatologist-level accuracy in skin cancer detection (AUROC 0.86 in melanoma recognition studies).

  • Current aesthetic evaluation tools (e.g., Baumann Skin Type Indicator, imaging devices like Canfield VISIA) lack standardization and struggle with ethnic/age diversity.

  • AI-based mobile apps matched expert performance in diagnosing pigmented lesions but lagged in treatment decision-making.

💡 Clinical Impact

AI could enhance objectivity in aesthetic assessments, improve treatment personalization, and support monitoring over time. However, reliance on non-standardized tools risks biased outcomes and limits comparability across practices.

🤔 Limitations

  • No universal standards for aesthetic evaluations (unlike EASI/PASI in medical dermatology).

  • Training datasets lack diversity in skin types, ages, and ethnicities.

  • High costs of AI-integrated devices may exacerbate healthcare disparities.

  • Ethical concerns (data privacy, over-reliance on AI) remain unresolved.

• Use AI as a supplementary tool for objective measurements but maintain clinical judgment for final decisions. • Advocate for standardized evaluation protocols and diverse dataset collection in your practice. • Prioritize patient privacy and transparency when implementing AI technologies.

Thunga S, Khan M, Cho SI, Na JI, Yoo J. AI in Aesthetic/Cosmetic Dermatology: Current and Future. Journal of Cosmetic Dermatology. 2025;24:e16640. https://doi.org/10.1111/jocd.16640