Digital analysis of facial epidermal and dermal quality enhanced by Artificial Intelligence: methodologies and applications in clinical routine.
Year: 2025
Type: article
Abstract: The advancement of digital technologies has revolutionized the assessment of skin health and aesthetics, especially through the application of artificial intelligence (AI) in facial analysis devices. This article presents a critical and applied review of the digital methodologies used to measure facial epidermal and dermal quality, with an emphasis on AI-based systems. The seventeen parameters evaluated are discussed — such as texture, spots, pores, wrinkles, hydration, elasticity, among others — as well as the algorithms that allow the automated interpretation of high-resolution images. The incorporation of these tools into the clinical routine promotes greater diagnostic accuracy, evolutionary monitoring of treatment, and therapeutic personalization, in addition to being a conversion tool in the patient's decision to agree with the indications of the proposed skin treatments, since the device delivers a projection of the skin if the proposed aesthetic procedures are performed. Finally, a practical integration model is proposed for aesthetics and dermatology professionals, aiming to optimize results and strengthen the relationship with the patient through objective and comparative data.
Authors: Moleiro, D, Ruiz-Silva, C, Melo, RA, Bueno, FCP, Oliveira, AC
Language: English
Topic: Skin Protection and Aging
Subfield: Dermatology
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4411995412