Sports Medicine and Artificial Intelligence: A Primer. Issue 4 (March 2022)

• Record Type: Journal Article
• Authors: Ramkumar, Prem N.; Luu, Bryan C.; Haeberle, Heather S.; Karnuta, Jaret M.; Nwachukwu, Benedict U.; Williams, Riley J.
• Is Part Of: American journal of sports medicine. Volume 50:Issue 4(2022)
• Page Start: 1166
• Page End: 1174
• Publication Date: 2022-03
• Subjects: artificial intelligence -- machine learning -- deep learning -- prediction; Sports medicine -- Periodicals; Sports injuries -- Periodicals; Orthopedic surgery -- Periodicals; 617.102705
• DOI: 10.1177/03635465211008648
• Languages: English
• ISSNs: 0363-5465

Abstract

Artificial intelligence (AI) represents the fourth industrial revolution and the next frontier in medicine poised to transform the field of orthopaedics and sports medicine, though widespread understanding of the fundamental principles and adoption of applications remain nascent. Recent research efforts into implementation of AI in the field of orthopaedic surgery and sports medicine have demonstrated great promise in predicting athlete injury risk, interpreting advanced imaging, evaluating patient-reported outcomes, reporting value-based metrics, and augmenting the patient experience. Not unlike the recent emphasis thrust upon physicians to understand the business of medicine, the future practice of sports medicine specialists will require a fundamental working knowledge of the strengths, limitations, and applications of AI-based tools. With appreciation, caution, and experience applying AI to sports medicine, the potential to automate tasks and improve data-driven insights may be realized to fundamentally improve patient care. In this Current Concepts review, we discuss the definitions, strengths, limitations, and applications of AI from the current literature as it relates to orthopaedic sports medicine.