Mansoor Masab, Ibrahim Andrew F
Edward Via College of Osteopathic Medicine-Louisiana Campus, Monroe, LA 71203, USA.
School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
J Clin Med. 2025 Apr 15;14(8):2698. doi: 10.3390/jcm14082698.
: This study comprehensively examines how artificial intelligence (AI) technologies are transforming clinical practice in plastic and reconstructive surgery across the entire patient care continuum, with the specific objective of identifying evidence-based applications, implementation challenges, and emerging opportunities that will shape the future of the specialty. : A comprehensive narrative review was conducted analyzing the integration of AI technologies in plastic surgery, including preoperative planning, intraoperative applications, postoperative monitoring, and quality improvement. Challenges related to implementation, ethics, and regulatory frameworks were also examined, along with emerging technological trends that will shape future practice. : AI applications in plastic surgery demonstrate significant potential across multiple domains. In preoperative planning, AI enhances risk assessment, outcome prediction, and surgical simulation. Intraoperatively, AI-assisted robotics enables increased precision and technical capabilities beyond human limitations, particularly in microsurgery. Postoperatively, AI improves complication detection, pain management, and outcomes assessment. Despite these benefits, implementation faces challenges including data privacy concerns, algorithmic bias, liability questions, and the need for appropriate regulatory frameworks. Future directions include multimodal AI systems, federated learning approaches, and integration with extended reality and regenerative medicine technologies. : The integration of AI into plastic surgery represents a significant opportunity to enhance surgical precision, improve outcome prediction, and expand the boundaries of what is surgically possible. However, successful implementation requires addressing ethical considerations and maintaining the human elements of surgical care. Plastic surgeons must actively engage with AI development to ensure these technologies address genuine clinical needs while aligning with the specialty's core values of restoring form and function, alleviating suffering, and enhancing quality of life.
本研究全面考察了人工智能（AI）技术如何在整个患者护理连续过程中改变整形与重建外科的临床实践，具体目标是确定基于证据的应用、实施挑战以及将塑造该专业未来的新机遇。
进行了一项全面的叙述性综述，分析了人工智能技术在整形手术中的整合情况，包括术前规划、术中应用、术后监测和质量改进。还研究了与实施、伦理和监管框架相关的挑战，以及将塑造未来实践的新兴技术趋势。
人工智能在整形手术中的应用在多个领域显示出巨大潜力。在术前规划中，人工智能可增强风险评估、结果预测和手术模拟。在术中，人工智能辅助机器人技术能够提高精度并具备超越人类局限的技术能力，尤其是在显微手术中。术后，人工智能可改善并发症检测、疼痛管理和结果评估。尽管有这些益处，但实施面临诸多挑战，包括数据隐私问题、算法偏差、责任问题以及对适当监管框架的需求。未来的发展方向包括多模态人工智能系统、联邦学习方法以及与扩展现实和再生医学技术的整合。
将人工智能整合到整形手术中是提高手术精度、改善结果预测并拓展手术可能性边界的重大机遇。然而，成功实施需要解决伦理考量并保持手术护理中的人文因素。整形外科医生必须积极参与人工智能开发，以确保这些技术满足真正的临床需求，同时符合该专业恢复形态与功能、减轻痛苦和提高生活质量的核心价值观。
