Haykal Diala, Cartier Hugues, Yi Kyuho, Wortsman Ximena
Centre Laser Palaiseau, Palaiseau, France.
Centre Médical Saint Jean, Arras, France.
J Cosmet Dermatol. 2025 Feb;24(2):e16691. doi: 10.1111/jocd.16691. Epub 2024 Nov 25.
The integration of artificial intelligence (AI) and ultrasound (US) technology is reshaping facial aesthetics, providing enhanced diagnostic precision, procedural safety, and personalized patient care. The variability in US imaging, stemming from patient anatomy, operator skills, and equipment diversity, poses challenges in achieving consistent and accurate outcomes. AI addresses these limitations by standardizing imaging protocols, automating image analysis, and supporting real-time decision-making.
To explore the applications of AI-enhanced US in facial aesthetics, focusing on its potential to improve diagnostic accuracy, procedural safety, and personalized treatments while identifying future prospects and challenges.
A comprehensive review of current literature and advancements was conducted, examining the integration of AI with US in facial aesthetics. Key areas of focus included AI algorithms for image enhancement, real-time guidance during procedures, postprocedure assessment, personalized treatment planning, and workflow optimization.
AI-enhanced US significantly improved diagnostic accuracy by automating the identification of critical anatomical structures and reducing operator variability. Real-time guidance during procedures enhanced safety, reducing complications such as vascular occlusion and nerve damage. Postprocedure assessments facilitated early detection of complications and improved patient outcomes. Personalized treatment plans tailored to individual anatomy and clinical needs resulted in higher patient satisfaction. Additionally, AI optimized workflow efficiency through seamless integration with electronic health records and advanced training simulators.
The integration of AI and US technology represents a transformative advancement in facial aesthetics. By enhancing precision, safety, and personalization, AI-powered US sets new benchmarks in diagnostic accuracy and treatment outcomes. Despite challenges related to data diversity, ethical considerations, and training, this synergy holds immense potential to revolutionize the field, offering improved outcomes and satisfaction for practitioners and patients alike. Further research and innovation are essential to fully realize the benefits of this technology.
人工智能（AI）与超声（US）技术的融合正在重塑面部美学，提高诊断精度、手术安全性并提供个性化的患者护理。超声成像的变异性源于患者解剖结构、操作者技能和设备差异，给实现一致且准确的结果带来了挑战。人工智能通过标准化成像协议、自动化图像分析以及支持实时决策来解决这些限制。
探讨人工智能增强型超声在面部美学中的应用，重点关注其在提高诊断准确性、手术安全性和个性化治疗方面的潜力，同时识别未来的前景和挑战。
对当前文献和进展进行了全面综述，研究了人工智能与超声在面部美学中的融合。重点关注的关键领域包括用于图像增强的人工智能算法、手术过程中的实时引导、术后评估、个性化治疗计划以及工作流程优化。
人工智能增强型超声通过自动识别关键解剖结构并减少操作者变异性，显著提高了诊断准确性。手术过程中的实时引导提高了安全性，减少了血管阻塞和神经损伤等并发症。术后评估有助于早期发现并发症并改善患者预后。根据个体解剖结构和临床需求定制的个性化治疗计划提高了患者满意度。此外，人工智能通过与电子健康记录和先进训练模拟器的无缝集成优化了工作流程效率。
人工智能与超声技术的融合代表了面部美学领域的变革性进展能力。通过提高精度、安全性和个性化程度，人工智能驱动的超声在诊断准确性和治疗效果方面树立了新的标杆。尽管存在与数据多样性、伦理考量和培训相关的挑战，但这种协同作用具有巨大的潜力来彻底改变该领域，为从业者和患者带来更好的结果和满意度。进一步的研究和创新对于充分实现这项技术的益处至关重要。
