Artificial Intelligence in Cosmetic Dermatology: A Systematic Literature Review

Abstract

Over the last ten years, the field of dermatology has experienced significant advancements through the utilization of artificial intelligence (AI) technologies. The adoption of such technologies is multifaceted, encompassing tasks such as screening, diagnosis, treatment, and prediction of treatment outcomes. The majority of prior systematic reviews in this domain were centered on medical dermatology, with the aim of detecting and managing serious skin diseases such as skin cancer. However, the adoption of AI in cosmetic dermatology, which focuses on improving skin conditions for cosmetic purposes, has not been comprehensively reviewed. Therefore, the objective of this systematic review article is to analyze the existing and recent research revolving around applications of AI in the field of cosmetic dermatology. The study encompasses articles published between 2018 and 2023, where a total of 63 publications are deemed relevant based on the established inclusion criteria, divided into five categories based on utilization domains, namely cosmetic product development, skin assessment, skin condition diagnosis, treatment recommendation, and treatment outcome prediction. This systematic review article provides not only valuable insights for researchers interested in exploring new research areas related to aesthetic medicine but also applicable guidance for practitioners seeking to implement AI technologies to address real-world challenges in cosmetic services.