Background: Aesthetic medicine has traditionally relied on clinical scales for the objective assessment of baseline appearance and treatment outcomes. However, the scales focus on limited aesthetic areas mostly and subjective interpretation inherent in these scales can lead to variability, which undermines standardization efforts.Objective: The consensus meeting aimed to establish guidelines for AI application in aesthetic medicine.Materials and Methods: In February 2024, the AI Consensus Group, comprising international experts in various specialties, convened to deliberate on AI in aesthetic medicine. The methodology included a pre‐consensus survey and an iterative consensus process during the meeting.Results: AI's implementation in Aesthetic Medicine has achieved full consensus for enhancing patient assessment and consultation, ensuring standardized care. AI's role in preventing overcorrection is recognized, alongside the need for validated objective facial assessments. Emphasis is placed on comprehensive facial aesthetic evaluations using indices such as the Facial Aesthetic Index (FAI), Facial Youth Index (FYI), and Skin Quality Index (SQI). These evaluations are to be gender‐specific and exclude makeup‐covered skin at baseline. Age and gender, as well as patients' ancestral roots, are to be considered integral to the AI assessment process, underlining the move towards personalized, precise treatments.Conclusion: The consensus meeting established that AI will significantly improve aesthetic medicine by standardizing patient assessments and consultations, with a strong endorsement for preventing overcorrection and advocating for validated, objective facial assessments. Utilizing indices such as the FAI, FYI, and SQI allows for gender‐specific, age adjusted evaluations and insists on a makeup‐free baseline for accuracy.

In recent years, artificial intelligence (AI) approaches in computer vision and medical technology have been combined to create various convenient and accurate tools to assist medical treatments. In this work, we propose conditional generative adversarial networks (conditional GANs)-based pigmented facial skin analysis system for melasma diagnosis. In the past, melasma diagnosis was based on subjective diagnoses from doctors, and there were few automatic melasma analysis methods. The proposed system helps to determine the region according to the melasma’s severity. Areas associated with melasma and hemoglobin are detected to determine whether they may require special treatments. Furthermore, the proposed work cooperates with HUANGDERM dermatology to collect a facial skin pigmented dataset. We divide the dataset into 3,000 groups for training datasets and 678 groups for testing. Each group contains four categories of images: standard white light, polarized light, melanin and hemoglobin distribution. As a result, the proposed system successfully generates melasma and hemoglobin images and performs well with respect to subjective and objective evaluations.

Background: Needling radiofrequency (NRF) induces controlled dermal remodeling while preserving the epidermis. Rose stem cell–derived exosomes (RSCEs) possess regenerative and anti-inflammatory properties, but limited penetration restricts clinical utility. Objectives: To assess whether RSCEs applied immediately after NRF enhance improvement in wrinkles, texture, and pores in Asian patients. Methods: A prospective split-face study was conducted in 6 subjects (Fitzpatrick III–IV). Both facial sides received NRF, with RSCEs applied to one randomly assigned side. Standardized photography and Vectra Sculptor analyses were performed at baseline and at 1, 3, and 6 months. Results: All subjects completed follow-up. NRF + RSCE produced significantly greater wrinkle reduction at 1 and 3 months (both P = .03), with faster early improvement and sustained remodeling at 6 months, whereas NRF-alone side/area showed rebound worsening. Texture responses varied by phenotype: collagen-deficient skin benefited more from RSCEs, whereas sebaceous-dominant skin responded better to NRF alone. For pores, overall differences were nonsignificant, but normal-function skin showed early acceleration with RSCEs, while sebaceous-dominant skin improved more with NRF alone. Conclusions: Based on these preliminary observations, our findings suggest that adding RSCEs after NRF may provide additional benefit in improving several aspects of skin quality, including wrinkles, texture, and pore size. The response patterns indicate that RSCEs may act synergistically with the wound-healing environment created by NRF, potentially enhancing dermal remodeling beyond energy-based treatment alone. While these results support RSCEs as a promising adjunct for selected patients, larger controlled trials are required to validate these findings and define patient profiles most likely to benefit. Level of Evidence: 4 (Therapeutic):

Background: Hair graying is an age‐associated condition primarily caused by the depletion and dysfunction of melanocyte stem cells within hair follicles. Emerging regenerative strategies, including exosome‐based therapies, offer the potential to restore pigmentation by targeting underlying cellular mechanisms. Objective: To investigate the clinical outcomes and correlates of hair repigmentation following exosome‐based therapy in individuals with gray hair. Methods: This cross‐sectional observational study enrolled 10 patients with visible gray or white hair who were treated with rose stem cell‐derived exosomes (RSCEs) using various procedures. Gray hair repigmentation outcomes were assessed using a standardized scale. Statistical correlations between clinical variables and treatment responses were analyzed. Results: A mean of 4.6 ± 1.3 treatment sessions was performed. Repigmentation was observed after an average of 2.4 ± 0.7 sessions and was maintained for 4.7 ± 1.9 months. The various treatment modalities also demonstrated efficacy in both hair regrowth and hair repigmentation. The mean outcome score was 2.8 ± 0.78, with 60% achieving a higher‐grade response (≥ 50% improvement). Shorter duration of graying ( p = 0.0363), presence of androgenetic alopecia (AGA) ( p = 0.0332), and moderate baseline severity (Stage 2) ( p = 0.0133) were significantly associated with better outcomes. No adverse events were reported. Conclusion: Exosome‐based therapy appears to be a safe and promising approach for inducing hair repigmentation in individuals with gray hair using various treatment modalities. Factors such as the presence of AGA, shorter duration of graying, and moderate baseline severity may predict a better response. Larger, controlled studies are warranted to validate these findings and help standardize treatment protocols.

Background: Melasma is a chronic, relapsing pigmentary disorder with a significant psychosocial impact, particularly in darker skin types. Despite various therapeutic options, its resistance to treatment necessitates optimized laser protocols and more precise evaluation tools. Aims: This study follows a dual objective: to evaluate the efficacy and safety of a low‐fluence fractional 694‐nm Q‐switched Ruby laser (QSRL) protocol in Asian patients, and to validate a novel AI‐assisted region‐of‐interest (ROI) chromatic analysis for objective clinical assessment. Methods: A retrospective analysis was conducted on patients (Fitzpatrick III–V) treated with at least four treatments using a 694 nm (QSRL) at 3–8 weeks intervals (0.77 and 0.94 J/cm ² ). Clinical outcomes were assessed using a digital imaging framework incorporating advanced feature‐alignment algorithms (SURF and RANSAC) for precise longitudinal ROI tracking. Objective improvement was quantified via Gray‐Level Co‐occurrence Matrix (GLCM) texture analysis and luminosity coefficients. Results: Sixteen patients completed the study. Significant reductions in hyperpigmentation were recorded in midfacial regions. The AI‐assisted analysis demonstrated high sensitivity in capturing localized improvements and textural shifts often missed by global clinical impressions. Notably, no cases of PIH or rebound pigmentation occurred during the 1‐year follow‐up. High patient satisfaction correlated strongly with quantitative pigmentary transitions. Conclusion: Low‐fluence fractional 694‐nm QSRL provides a safe, effective treatment option for melasma in Asian skin. Moreover the study validates the AI‐assisted ROI analysis provides a superior assessment tool. This dual approach offers a promising paradigm for long‐term melasma management, combining an optimized laser protocol with a robust, reproducible benchmark for precision dermatology.