4.6 Article

AOA Critical Issues Symposium: Shaping the Impact of Artificial Intelligence within Orthopaedic Surgery

Journal

JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME
Volume 105, Issue 18, Pages 1475-1479

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.2106/JBJS.22.01330

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Artificial intelligence (AI) refers to machines exhibiting human-like intelligence, and it has already had a significant impact on industries such as entertainment, transportation, and communications. AI is also expected to influence medicine and healthcare. In the field of orthopaedics, interest in AI-based techniques has grown rapidly, and the technical nature of orthopaedic surgery makes it a potential area for AI to transform musculoskeletal care. However, orthopaedic surgeons lack knowledge about AI-based techniques and their application, which calls for a better understanding to identify potential pitfalls and improve trust in AI-based analytics.
Artificial intelligence (AI) is a broad term that is widely used but inconsistently understood. It refers to the ability of any machine to exhibit human-like intelligence by making decisions, solving problems, or learning from experience. With its ability to rapidly process large amounts of information, AI has already transformed many industries such as entertainment, transportation, and communications through consumer-facing products and business-to-business applications. Given its potential, AI is also anticipated to impact the practice of medicine and the delivery of health care. Interest in AI-based techniques has grown rapidly within the orthopaedic community, resulting in an increasing number of publications on this topic. Topics of interest have ranged from the use of AI for imaging interpretation to AI-based techniques for predicting postoperative outcomes.The highly technical and data-driven nature of orthopaedic surgery creates the potential for AI, and its subdisciplines machine learning (ML) and deep learning (DL), to fundamentally transform our understanding of musculoskeletal care. However, AI-based techniques are not well known to most orthopaedic surgeons, nor are they taught with the same level of insight and critical thinking as traditional statistical methodology. With a clear understanding of the science behind AI-based techniques, orthopaedic surgeons will be able to identify the potential pitfalls of the application of AI to musculoskeletal health. Additionally, with increased understanding of AI, surgeons and their patients may have more trust in the results of AI-based analytics, thereby expanding the potential use of AI in clinical care and amplifying the impact it could have in improving quality and value. The purpose of this American Orthopaedic Association (AOA) symposium was to facilitate understanding and development of AI and AI-based techniques within orthopaedic surgery by defining common terminology related to AI, demonstrating the existing clinical utility of AI, and presenting future applications of AI in surgical care.

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