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

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.

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Publication Details

Journal
Universität Zürich, ZORA
Published
2025-10-17
DOI
https://doi.org/10.5167/uzh-281576
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Bálint Zsidai, Yinan Yu, Ting Cong, James A. Pruneski et al.
Universität Zürich, ZORA
Artificial Intelligence in Healthcare and Education
article

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

Bálint Zsidai, Yinan Yu, Ting Cong, James A. Pruneski, Felix C Oettl, Robert Feldt, Michael T Hirschmann, ESSKA Artificial Intelligence Working Group, Philipp W Winkler, Kristian Samuelsson
article en

Abstract

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.

Universität Zürich, ZORA
Openalex Percentile: Top 34%
Artificial Intelligence in Healthcare and Education
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Artificial intelligence agents in orthopaedics: Concepts, capabilities and the road ahead — Bálint Zsidai, Yinan Yu, et al. · Universität Zürich, ZORA (2025) | TGRS Research Map | TGRS