Abstract
Artificial intelligence (AI) is revolutionizing multiple industries, including health care and cosmetics, with particular promise in personalized skincare. This literature review explores recent advancements in AI technology that enable the development of highly customized skincare regimens. By integrating intrinsic factors such as skin type, pigmentation, texture, and genetic predispositions with external influences such as product ingredients, lifestyle choices, and environmental conditions, AI offers a sophisticated approach to managing skin health. AI's ability to analyze and synthesize vast amounts of data allows for a more comprehensive understanding of how these factors interact, facilitating the prediction of long-term skin health outcomes with greater accuracy. Moreover, AI-driven innovations enable the creation of dynamic, adaptive skincare routines that adjust in real-time to physiological changes and external conditions, ensuring a personalized treatment that evolves with each individual's dermatological needs. As AI technology advances, its role in skincare is expected to deliver increasingly personalized and effective therapies, shifting from traditional, static skincare approaches to a more dynamic paradigm. This transformation holds great promise for improving dermatological outcomes and enhancing patient satisfaction through tailored real-time skincare management.