Personalized Beauty: How Clinical Insights Shape Tailored Aesthetic Treatments

Aesthetic procedures have advanced significantly, transcending mere vanity to become practical tools for enhancing well-being. The diversity of available aesthetic treatments and products can make it challenging for both professionals and consumers. Consequently, the field of aesthetics has begun to incorporate AI techniques. The scope of this article is to evaluate the effects of various cosmetic procedures using the T•modella 5.0 machine and assess their effectiveness. We gathered data from 11 aesthetic centres and 36 subjects with different body constitutions (normal, overweight and obese). This is a prospective, multicenter, interventional study designed to assess the impact of the procedures on the participants. Clustering methods were used to analyse the results, identify trends and evaluate the efficacy. Additionally, we developed a novel algorithm that tailors cosmetic treatment regimens according to the unique physiological characteristics of each patient. The initial weight of patients has been found to influence the efficacy of treatments. Significant improvements have been observed in obese individuals, with reductions of 6% in hip circumference, 8% in waist circumference, and a decrease in fat mass. In contrast, overweight and normal-weight individuals exhibited less consistent outcomes, with results influenced by external factors such as stress, physical exercise, and medication. By utilising clustering techniques, we were able to move beyond traditional weight-based analyses. Based on these findings, we developed a recommendation system that can be integrated into treatment devices to optimise both clinical and aesthetic results.