Barone Mauro, De Bernardis Riccardo, Persichetti Paolo
Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128, Rome, Italy.
Aesthetic Plast Surg. 2025 Mar;49(5):1637-1639. doi: 10.1007/s00266-024-03988-1. Epub 2024 Mar 12.
Artificial intelligence (AI) is emerging as a promising tool in the field of plastic surgery, offering a wide array of applications that enhance surgical outcomes, patient satisfaction, and overall efficiency. This paper explores the utilization of AI, highlighting its various advantages and potential drawbacks. AI-driven technologies such as computer vision, machine learning algorithms, and robotic assistance facilitate preoperative planning, intraoperative guidance, and postoperative monitoring. These advancements enable precise anatomical measurements, personalized treatment plans, and real-time feedback during surgery, leading to improved accuracy and safety. Furthermore, AI-powered image analysis aids in facial recognition, skin texture assessment, and simulation of surgical outcomes, enabling enhanced patient consultations and predictive modeling. However, the integration of AI in plastic surgery also presents challenges, including ethical concerns, data privacy, algorithm biases, and the need for comprehensive training among healthcare professionals. Additionally, the reliance on AI systems may potentially lead to over-reliance or reduced surgeon autonomy, necessitating careful validation and continuous refinement of these technologies. Despite these challenges, the synergistic collaboration between AI and plastic surgery holds great promise in advancing clinical practice, fostering innovation, and ultimately benefiting patients through optimized esthetic and reconstructive outcomes.Level of Evidence V This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors https://www.springer.com/00266 .
人工智能(AI)正在成为整形外科领域一种很有前景的工具,它提供了一系列可提高手术效果、患者满意度和整体效率的应用。本文探讨了人工智能的应用,强调了其各种优点和潜在缺点。计算机视觉、机器学习算法和机器人辅助等人工智能驱动的技术有助于术前规划、术中指导和术后监测。这些进步能够实现精确的解剖测量、个性化的治疗方案以及手术过程中的实时反馈,从而提高准确性和安全性。此外,人工智能驱动的图像分析有助于面部识别、皮肤纹理评估和手术效果模拟,从而加强患者咨询和预测建模。然而,人工智能在整形外科中的整合也带来了挑战,包括伦理问题、数据隐私、算法偏差以及医疗专业人员需要进行全面培训。此外,对人工智能系统的依赖可能会导致过度依赖或外科医生自主权的降低,因此需要对这些技术进行仔细验证和持续改进。尽管存在这些挑战,但人工智能与整形外科之间的协同合作在推进临床实践、促进创新以及最终通过优化美学和重建效果使患者受益方面具有巨大潜力。证据级别V 本刊要求作者为每篇文章指定一个证据级别。有关这些循证医学评级的完整描述,请参阅目录或在线作者指南https://www.springer.com/00266 。
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