BASED DIGITAL ANALYSIS OF THE EPIDERMIS AND DERMIS: CLINICAL EVIDENCE IN FACIAL PIGMENTATION MANAGEMENT WITH VISION 12D

*Dr a Daniela Baptistini Moleiro, Dr. Carlos Ruiz da Silva, Dra. R ubia de Araujo Melo, Dra. Kerolin Lima da Silva, Dra Larissa Ela ine frei Dias, Dra. Felicia Cadenas de Paiva Bueno Dra. Aldrey Coelho de Oliveira

ABSTRACT

Background:
The use of artificial intelligence (AI) technologies has revolutionized facial assessment in aesthetics,
enabling more accurate diagnoses and structured clinical follow up. Devices such as Vision 12D, from DNA Med
do Brasil, use high definition spectral images to analyze 17 skin parameters, including epidermal and dermal
characteristics, based on eight light sources. This article aims to highlight the ben efits of using an AI powered
facial analyzer to quantify pigmentary changes and monitor the clinical progress of pigment management
treatments. A digital skin analysis was performed at different treatment phases using Vision 12D, focusing on the
objective comparison of superficial and deep pigmentation parameters. The data was used to define and adjust
therapeutic approaches and presented to the patient to promote adherence and understanding of the results.
Conclusion: Spectral analysis allowed for the prec ise identification of pigmentary changes at different depths, the
quantification of therapeutic progress, and the optimization of personalized protocols. The use of AI integrated
agility, precision, and effective visual communication with the patient.

Keywords: Facial Analysis, Facial Diagnosis, Artificial Intelligence, AI, Facial Pigment Management.