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IMCAS China 2025
Programa

Artificial intelligence & medical aesthetics

Sala: Room 2
Data: domingo 13 julho 2025 de 15:00 às 16:30
Formato: FOCUS SESSION > lectures covering a major topic of the congress

Moderadores

Dr Diala HAYKAL

Médico

França

Prof Baoqiang SONG

Cirurgião Plástico

China

Apresentações desta sessão

Horas	Palestrantes	Título da apresentação	Resumo	Número
15:00	Dr Diala HAYKAL	Introduction		147354
15:05	Dr Frederic FLAMENT	AI and digital solutions are disrupting skincare and haircare fields for new, personalized holistic experiences	Visualizar	147353
15:17	Prof Baoqiang SONG	Advances in the application of Artificial Intelligence in plastic and aesthetic surgery		147358
15:29	Dr Irina POLEVA	AI-powered skin assessment in aesthetic medicine	Visualizar	150257
15:41	Dr Yujin KANG	AI-driven assessment of lip volume improvement using hyaluronic acid fillers: A comprehensive analysis	Visualizar	147357
15:53	Dr Wen Hsien Ethan HUANG	Intelligent tongue diagnosis and physiognomy: A 2025 innovation in aesthetic wellness	Visualizar	150320
16:05	Dr Rizwan ALI	Title to be announced		150318
16:17		Discussion and Q&A		147359

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Artificial intelligence

Anatomy for injections

Skin aging

Preenchedores: Ácido Hialurônico (HA)

Dr Diala HAYKAL

Médico

França

Outro(s) autor(es) :

Introduction

Dr Frederic FLAMENT

PhD - Investigação

França

Outro(s) autor(es) :

AI and digital solutions are disrupting skincare and haircare fields for new, personalized holistic experiences

Objectives: A.I and digital solutions are disrupting Skincare and Haircare fields for new personalized holistic experiences.

Introduction: With emerging trends in longevity, a complete change of paradigm happen in beauty industries, practicians’ activities, patients’ coaching but also purely in lifestyles or social networks expressions. A.I and tech solutions allow new accurate diagnostics from collection of biomarkers or devoted devices to understand skin or scalp resilience noticeably with exposome on point of sales to clinical assessment on smartphones. Especially in motion with expressions and movement where efficacy is essential to embrace skin issues in real life conditions.

Materials / method: A pathway to global skin condition: from biological age to holistic age through functional age. Through these three levels of understanding, a real mirror of skin health span, or skin clock, is at hand. All these solutions are published and shared with scientific community. Based on published and accessible knowledge with skin changes with environment, hormonal changes, aging, or topical treatments and exhaustive highly accurate diagnostics, prescription algorithms push boundaries by merging best solutions in term of ingredient, galenic, routine, diet or specific procedure.

Results: In addition, tele-expertise associated with personalized simulations become the best companions during treatment, accessible to each.

Conclusion: Finally, metaverse or avatar creations are new territories to be pioneered to re-invent intimacy between skin and digital and help longevity to become reality.

Divulgação de informações

Você recebeu algum patrocínio para sua pesquisa neste tema?
Não

Você recebeu algum tipo de honorário, pagamento ou outra forma de compensação por seu trabalho neste estudo?
Não

Você possui relação financeira com alguma entidade que possa competir com os medicamentos, materiais ou instrumentos abordados no seu estudo?
Não

Você detém ou pediu a registro de patente para algum dos instrumentos, medicamentos ou materiais abordados no seu estudo?
Não

Este trabalho não recebeu nenhum patrocínio direto ou indireto. O mesmo está sob a própria responsabilidade do seu autor.

Prof Baoqiang SONG

Cirurgião Plástico

China

Outro(s) autor(es) :

Advances in the application of Artificial Intelligence in plastic and aesthetic surgery

Dr Irina POLEVA

Dermatologista

Itália

Outro(s) autor(es) :

AI-powered skin assessment in aesthetic medicine

Objectives: This presentation aims to explore the integration of Artificial Intelligence into aesthetic medicine. Its core objectives are to highlight AI's transformative impact on skin assessment, treatment planning, and patient engagement, focusing on how AI enhances precision, efficiency, and outcomes, while also addressing associated ethical considerations and challenges.

Introduction: The field of aesthetic medicine is undergoing a significant transformation with the advent of Artificial Intelligence. This presentation delves into how AI is being integrated into various aspects of aesthetic practices to improve the quality and effectiveness of care.

Materials / method: The discussion is grounded in real-world applications of several AI-powered tools. Specific technologies highlighted include Visia, Quantificare 3D LifeViz®, HAUT.AI, Caarisma. These tools are utilized for objective skin analysis, predictive modeling, and the generation of personalized treatment recommendations. The presentation also examines practical strategies for implementing these AI solutions within clinical settings.

Results: AI-driven platforms have shown considerable improvements in aesthetic practices. They facilitate standardized assessments, enable data-driven treatment plans, and provide measurable post-treatment results. Furthermore, these AI tools have proven effective in accurately tracking specific outcomes such as lifting effects, improvements in acne scars, and predicting long-term skin changes with high precision.

Conclusion: In conclusion, AI is fundamentally revolutionizing aesthetic medicine by bridging the gap between subjective evaluations and objective data. While AI significantly enhances clinical decision-making and patient satisfaction, it is crucial that ethical considerations, including data privacy, inclusivity, and regulatory compliance, remain top priorities in its continued development and application.

Divulgação de informações

Você recebeu algum patrocínio para sua pesquisa neste tema?
Não

Você recebeu algum tipo de honorário, pagamento ou outra forma de compensação por seu trabalho neste estudo?
Não

Você possui relação financeira com alguma entidade que possa competir com os medicamentos, materiais ou instrumentos abordados no seu estudo?
Não

Você detém ou pediu a registro de patente para algum dos instrumentos, medicamentos ou materiais abordados no seu estudo?
Não

Este trabalho não recebeu nenhum patrocínio direto ou indireto. O mesmo está sob a própria responsabilidade do seu autor.

Dr Yujin KANG

Cirurgião Plástico

China

Outro(s) autor(es) :

AI-driven assessment of lip volume improvement using hyaluronic acid fillers: A comprehensive analysis

Objectives: The primary objective of this study is to provide a comprehensive evaluation of the effects of lip enhancement through hyaluronic acid (HA) filler injections, utilizing AI-based tools for objective, data-driven analysis. The study aims to assess not only the changes in lip volume but also the associated alterations in overall facial aesthetics, including perceived age, emotional expressions, and facial balance. Through this approach, the study seeks to develop a more holistic framework for lip enhancement assessments that goes beyond subjective visual evaluations, offering more precise insight

Introduction: The lips are a popular area for filler treatments across all age groups. Existing evaluations of lip volume enhancement often rely on subjective, visual assessments and fail to account for the overall facial balance and aesthetic changes. To address this, this study uses various AI models for a comprehensive analysis to better evaluate the effects of lip enhancement and provide insights for patient-specific treatment plans.

Materials / method: This study involved 31 participants (29 females, 2 males), all of whom received lip HA filler injections. Pre- and post-treatment facial images were captured in a relaxed state, and these images were processed using AI-based tools to record and analyze facial visual analysis, perceived age, and emotional expressions displayed on the face.

Results: Post-treatment, The Facial Visualization Analysis revealed that as lip volume increased, the lip line became more defined and the natural curve of the lips became more balanced. The MiVOLO model demonstrated high age estimation accuracy (MAE: 5.15; ICC:0.866; Pearson’s r: 0.875), with a mean apparent age reduction of −1.63 ± 2.51 years (95% CI = -2.78 to -0.49, Cohen's d = -0.65), emotion analysis revealed a significant increase in neutral expression (72.97% to 83.44%, 95% CI = 3.38 to 17.56, Cohen's d = 0.58) and reductions in anger (10.25% to 5.84%, 95% CI = −8.53 to −2.28, Cohen's d = -0.42

Conclusion: This study provides significant insights by showing that lip volume improvement affects not only external changes but also emotional expression, age perception, and social interaction. This approach presents a new solution in the field of cosmetic surgery and will contribute to improving patient satisfaction through personalized treatments and multifaceted effect analysis.

Divulgação de informações

Você recebeu algum patrocínio para sua pesquisa neste tema?
Não

Você recebeu algum tipo de honorário, pagamento ou outra forma de compensação por seu trabalho neste estudo?
Não

Você possui relação financeira com alguma entidade que possa competir com os medicamentos, materiais ou instrumentos abordados no seu estudo?
Não

Você detém ou pediu a registro de patente para algum dos instrumentos, medicamentos ou materiais abordados no seu estudo?
Não

Este trabalho não recebeu nenhum patrocínio direto ou indireto. O mesmo está sob a própria responsabilidade do seu autor.

Dr Wen Hsien Ethan HUANG

Cirurgião Cosmético

Taiwan

Outro(s) autor(es) :

Intelligent tongue diagnosis and physiognomy: A 2025 innovation in aesthetic wellness

Objectives: 1. Innovation Fusion – Merging classical diagnostic theories with AI to redefine personalized aesthetics and wellness.
2. Technical Breakthrough – Using deep learning to build multidimensional facial analysis models, digitizing physiognomic principles.
3. Practical Impact – Demonstrating high client satisfaction and increased repurchase rates, validating the system's market acceptance.
4. Future Development – Aiming to enhance scientific rigor and reliability through further research and refinement.

Introduction: As AI continues to revolutionize healthcare, traditional practices like tongue diagnosis and physiognomy are entering a new digital era. This study introduces an intelligent aesthetic analysis system that fuses ancient diagnostic wisdom with modern algorithms. The result is a cutting-edge application offering personalized, health-oriented aesthetic solutions that bridge Eastern philosophy and contemporary science—paving a novel path in aesthetic wellness.

Materials / method: The system employs deep learning to analyze facial dimensions including shape, skin texture, and feature ratios. A digitized physiognomy model quantifies traditional observations for precise feature mapping. Simultaneously, tongue image data is processed through neural networks to assess internal health indicators, providing guidance for holistic, health-aligned aesthetic treatments. The hybrid model enables fast, accurate, and explainable diagnostic insights.

Results: The AI system achieved high accuracy in facial feature recognition and analysis speed. In real-world use, it provided instant, customized aesthetic advice, improving service precision and user satisfaction. A follow-up on 1,000 users revealed a 35% increase in repurchase rate and 92% satisfaction. These results confirm strong user trust and the commercial potential of AI-enhanced diagnostics.

Conclusion: This research pioneers the digital transformation of traditional diagnostics in the aesthetic wellness field. By combining Eastern theories with AI, it delivers a scalable, intelligent service model. Future work will focus on improving interpretability, scientific validation, and clinical consistency—laying the groundwork for the next generation of smart, personalized medical aesthetics.

Divulgação de informações

Você recebeu algum patrocínio para sua pesquisa neste tema?
Não

Você recebeu algum tipo de honorário, pagamento ou outra forma de compensação por seu trabalho neste estudo?
Não

Você possui relação financeira com alguma entidade que possa competir com os medicamentos, materiais ou instrumentos abordados no seu estudo?
Não

Você detém ou pediu a registro de patente para algum dos instrumentos, medicamentos ou materiais abordados no seu estudo?
Não

Este trabalho não recebeu nenhum patrocínio direto ou indireto. O mesmo está sob a própria responsabilidade do seu autor.

Dr Rizwan ALI

Cirurgião Cosmético

China

Outro(s) autor(es) :

Title to be announced

Discussion and Q&A

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IMCAS China 2025 Programa

Artificial intelligence & medical aesthetics

Moderadores

Apresentações desta sessão

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IMCAS China 2025
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