Artificial Intelligence in Orthopedic Surgery: A Practical Overview of Current Applications and Trends

Artificial intelligence (AI) is transforming orthopedic surgery through diagnostics, treatment planning, and postoperative care advancements. This review introduces AI’s current applications, including convolutional neural networks (CNN) for imaging analysis and machine learning (ML) models for predictive assessments. By introducing specific emerging AI technologies and offering insight into their functionality in clinical settings, the review aims to give orthopaedic surgeons an idea of how such tools could enhance their practice. Additionally, the review analyzes the challenges hindering broader AI adoption, including concerns over data privacy, algorithmic bias, and integration into existing clinical workflows. By providing an overview of AI’s practical applications and potential barriers, the review equips orthopedic surgeons with a foundational understanding of the technology’s role and its implications for future practice.

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Publication Details

Journal
SurgiColl
Published
2025-09-22
DOI
https://doi.org/10.58616/001c.137606
Primary Topic
Cardiac, Anesthesia and Surgical Outcomes
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence in Orthopedic Surgery: A Practical Overview of Current Applications and Trends

Nisha Jayasuriya, David Kirby, E. J. Feng
SurgiColl
Cardiac, Anesthesia and Surgical Outcomes
article

Artificial Intelligence in Orthopedic Surgery: A Practical Overview of Current Applications and Trends

Nisha Jayasuriya, David Kirby, E. J. Feng
article en

Abstract

Artificial intelligence (AI) is transforming orthopedic surgery through diagnostics, treatment planning, and postoperative care advancements. This review introduces AI’s current applications, including convolutional neural networks (CNN) for imaging analysis and machine learning (ML) models for predictive assessments. By introducing specific emerging AI technologies and offering insight into their functionality in clinical settings, the review aims to give orthopaedic surgeons an idea of how such tools could enhance their practice. Additionally, the review analyzes the challenges hindering broader AI adoption, including concerns over data privacy, algorithmic bias, and integration into existing clinical workflows. By providing an overview of AI’s practical applications and potential barriers, the review equips orthopedic surgeons with a foundational understanding of the technology’s role and its implications for future practice.

SurgiCollVol. 3(3)
St. Luke's Hospital (US), St. Vincent's Medical Center (US), Drexel University (US)
Openalex Percentile: Top 61%
Cardiac, Anesthesia and Surgical Outcomes
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