Tag: artificial intelligence

Annotation: The article explores the integration of digital technologies into the assessment of eyebrow morphology and the planning of their correction as a new stage in the development of aesthetic medicine. The aim of the study is to examine the impact of advanced technologies on the eyebrow correction process, taking into account facial morphology, which is understood as the analysis of facial shape, proportions, and symmetry in order to create a personalized image. The study employed general scientific methods of cognition: analysis, synthesis, comparison, modeling, systematization, and generalization. The findings indicate that the modern approach to eyebrow shaping is based on a combination of anatomical knowledge, age-related morphological features, innovative digital modeling, and standardized aesthetic parameters. The interdisciplinary nature of eyebrow morphology is emphasized, as it integrates anatomical, aesthetic, and anthropometric knowledge to enable precise analysis and correction of eyebrow shape while considering individual patient characteristics such as age, gender, ethnicity, and facial structure. It is noted that effective eyebrow shaping cannot be achieved without taking into account the facial morphotype and deep anatomical changes, especially in older patients. The study shows that digital technologies are actively being implemented in the field of eyebrow modeling and correction, with the most significant being: artificial intelligence (AI); augmented and virtual reality (AR/VR); 3D printing; 3D photogrammetry; CAD/CAM technologies. AI provides a personalized approach to analysis and modeling, while AR/VR allows real-time testing and visualization of different shape options. 3D printing is used for the creation of customized stencils or models, and 3D photogrammetry enables the acquisition of highly accurate facial parameters. CAD/CAM technologies ensure symmetry in both aesthetic and surgical procedures. The prospects for further development in this field are outlined: implementation of AI-based mobile applications for instant visualization of results; development of biometric models that consider age-related changes; AR technologies for dynamic eyebrow shape fitting; application of 3D scanners to monitor intervention effectiveness; and the use of virtual simulations as a communication tool between specialists and patients. The practical value of the study lies in the implementation of a personalized digital approach to eyebrow correction planning based on scientifically grounded morphological parameters.

Annotation: Amid accelerating global digitalization of business processes, the integration of ERP systems into supply chain management has become a key factor in determining the competitiveness of modern enterprises. The aim of this article is to provide a multifaceted analysis of the transformational impact of enterprise resource planning (ERP) platforms on logistics operations, with a focus on identifying and describing mechanisms that enhance the efficiency of material flows. Ongoing academic debates reveal significant contradictions regarding the optimal level of ERP system customization, the role of the human factor in implementation, and the potential for integration with Industry 4.0 technologies. Based on a structured review of relevant publications, it is observed that the comprehensive integration of ERP platforms into supply chain architecture leads not only to quantitative improvements in operational performance—such as inventory reduction and enhanced forecasting accuracy—but also to a qualitative transformation of managerial paradigms. In this context, the author outlines a perspective on the development of workforce competencies within the digital ecosystem. The content presented in this article is valuable for logistics managers, system integrators, and the academic community engaged in research on the digital transformation of business processes.

Annotation: This paper studies the implementation of artificial intelligence (AI) in creating personalized nail services. The promotion presents an analysis of contemporary technologies-namely, machine learning and natural language processing in the development of an exclusive pattern of nail designs that will be based on the personal preferences of a particular client. An account is given of how data can be collected through social networks and survey platforms, the following analysis of which supports the establishment of a custom solution for the clientele. An overview of existing technological platforms in the beauty industry used to achieve similar goals is presented with an eye to prospects for this sector’s development, thereby including, among other things, 3D printing and augmented reality technologies. The paper also contains the major barriers of the proposed innovations' integration into practice. The study brings out the potential application of AI as a tool to improve service quality and customer satisfaction in the beauty sector. This publication will capture the attention of beauty industry professionals: manicurists and owners of salons incorporating innovative methodologies into their practice. It can also prove handy for researchers and developers within the realm of artificial intelligence and machine learning, explicitly for those working on applications in cosmetology. Moreover, this content may draw the interests of marketers and analysts - those who explore consumer trends and the influence of social networks on consumer behavior, now within the aesthetic services arena.

Annotation: The vocational guidance problems were explored for developing a software system by the means of artificial intelligence methods and complex testing.