Artificial intelligence agents in orthopaedics: Concepts, capabilities and the road ahead
Journal article, 2025

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.

clinical decision support

surgical workflow

multiagent systems

agentic AI

medical ethics

artificial intelligence

Author

Felix C. Oettl

University of Zürich

James Pruneski

Tripler Army Medical Center

Balint Zsidai

University of Gothenburg

Yinan Yu

Chalmers, Computer Science and Engineering (Chalmers), Functional Programming

Ting Cong

Univ Pittsburgh, Dept Orthopaed Surg

Robert Feldt

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)

Philipp W. Winkler

Johannes Kepler University of Linz (JKU)

Michael T. Hirschmann

Canton Hospital Basel-Land

University of Basel

Kristian Samuelsson

University of Gothenburg

Knee Surgery, Sports Traumatology, Arthroscopy

0942-2056 (ISSN) 1433-7347 (eISSN)

Vol. In Press

Subject Categories (SSIF 2025)

Orthopaedics

Surgery

DOI

10.1002/ksa.70109

PubMed

41103258

More information

Latest update

11/7/2025