AESTURA Expands AI Skin Diagnosis to Include Skin Diseases

AESTURA, Amorepacific's dermocosmetic brand, is expanding its artificial intelligence (AI)-based skin analysis technology to cover skin diseases. This marks an evolution from assessing only visible skin conditions. At the KDD 2026 conference, AESTURA showcased its latest research on AI-powered skin diagnosis, positioning itself as an official sponsor of the global gathering.

Over 3,500 AI experts, researchers, and developers gathered from Korea and around the world, convening in Jeju. Kim Hye-sung, a dermatology professor at Catholic University of Korea, and Ahn Jong-hoon, head of Amorepacific’s AX division, presented findings from a skin diagnosis engine that incorporates clinical criteria used by dermatologists.

The research utilized approximately 750 patient datasets and 1,000 datasets from the general population, with dermatologists involved in data labeling and de-identification. The technology now analyzes 33 skin-related conditions, up from 29. AESTURA aims to bridge dermatology and everyday skincare through AI, translating professional knowledge into personalized skincare experiences.

The company plans to enhance privacy protections and employ federated learning, allowing AI models to learn from data without sharing personal information. Looking ahead, the goal is to provide consumers with more detailed insights about their skin conditions in everyday settings for personalized skincare routines. Industry observers note that expanding AI skin analysis to include skin-disease indicators could strengthen the link between dermocosmetics and digital healthcare.

However, they emphasize the need to maintain clear boundaries between medical diagnosis and consumer skincare services, along with ensuring data reliability and regulatory compliance. AESTURA's project emphasizes the integration of dermatologists' clinical expertise with AI technology to provide consumers with trustworthy, personalized skin solutions.