Digital analysis of facial epidermal and dermal quality enhanced by Artificial Intelligence: methodologies and applications in clinical routine.

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.