Artificial Intelligence-assisted Multimodal Quantification of Facial Pore Reduction After Microneedling With Adipose-derived Stem Cell Exosomes.

Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.

• Level A · Stronger Clinical Evidence
• Level B · Emerging clinical evidence with positive signals
• Level C · Early human research exploring benefits
• Level D · Scientific groundwork from lab and animal studies
• Emerging · Emerging topic under active research

Abstract (original English)

Enlarged facial pores are a common cosmetic concern, exacerbated by age-related collagen degradation and sebaceous hyperactivity. Despite clinical demand, objective quantification methods for pore improvement remain limited. This study used 3 independent analytical platforms-QuantifiCare 3-dimensional (3D) imaging, Gwyddion-based surface roughness analysis, and artificial intelligence (AI)-assisted image segmentation-to evaluate the efficacy of microneedling combined with adipose-derived stem cell exosome (ASCE+) therapy. Thirty subjects underwent 3 sessions of microneedling with topical ASCE+ application. Standardized high-resolution facial images were obtained via the LifeViz Mini system under controlled lighting and positioning. QuantifiCare software generated regional pore scores across 6 facial zones. Gwyddion software quantified 3D surface roughness ( R z , µm) in 4 subunits using paired anatomical landmarks. AI-based contour segmentation assessed pore count and mean pore area (pixels 2 ) in forehead, nose, malar, and buccal zones. Paired t tests were used for statistical comparisons. QuantifiCare pore scores significantly increased across all regions ( P < 0.001), reflecting improved skin texture. Gwyddion R z values decreased by 43%-61%, indicating smoother surface topography. AI analysis showed marked pore size reduction (forehead, -58.2%; nose, -56.1%; malar region, -

Evidence level

Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.

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