Oettl Felix C, Pruneski James, Zsidai Balint, Yu Yinan, Cong Ting, Feldt Robert, Winkler Philipp W, Hirschmann Michael T, Samuelsson Kristian
Department of Orthopedic Surgery, Balgrist University Hospital, University of Zürich, Zurich, Switzerland.
Department of Orthopaedic Surgery, Tripler Army Medical Center, Honolulu, Hawaii, USA.
Knee Surg Sports Traumatol Arthrosc. 2025 Dec;33(12):4475-4483. doi: 10.1002/ksa.70109. Epub 2025 Oct 17.
Artificial intelligence (AI) is increasingly used in orthopaedics, yet current models are often limited to narrow, isolated tasks like analysing an X-ray or predicting a single outcome. This paper introduces AI agents-a new class of AI systems designed to overcome these limitations. Unlike traditional AI, agents can autonomously manage complex, multistep processes that mirror the complete patient journey. They can coordinate tasks from initial diagnosis and surgical scheduling to postoperative monitoring and rehabilitation, acting as intelligent assistants for clinical teams. This review explains what distinguishes AI agents from conventional AI, explores their potential applications in orthopaedic practice-including perioperative workflow optimisation, research acceleration and intelligent physician support-and discusses the significant implementation and ethical challenges that must be addressed. For the orthopaedic surgeon, understanding AI agents is becoming essential, as these systems offer a transformative potential to enhance efficiency, improve patient outcomes and shape the future of clinical leadership in a technologically advancing field. LEVEL OF EVIDENCE: Level V.
人工智能(AI)在骨科领域的应用日益广泛,但目前的模型往往局限于狭窄、孤立的任务,如分析X光片或预测单一结果。本文介绍了人工智能智能体——一类旨在克服这些局限性的新型人工智能系统。与传统人工智能不同,智能体能够自主管理复杂的多步骤流程,这些流程反映了完整的患者就医过程。它们可以协调从初始诊断、手术安排到术后监测和康复的各项任务,充当临床团队的智能助手。本综述解释了人工智能智能体与传统人工智能的区别,探讨了它们在骨科实践中的潜在应用——包括围手术期工作流程优化、加速研究以及为医生提供智能支持——并讨论了必须解决的重大实施和伦理挑战。对于骨科外科医生来说,了解人工智能智能体变得至关重要,因为这些系统具有变革潜力,可提高效率、改善患者预后,并在技术不断进步的领域塑造临床领导力的未来。证据级别:V级。