Literature DB >> 33900125

Sports Medicine and Artificial Intelligence: A Primer.

Prem N Ramkumar1,2, Bryan C Luu1,3, Heather S Haeberle1,4, Jaret M Karnuta1, Benedict U Nwachukwu4, Riley J Williams4.   

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.

Entities:  

Keywords:  artificial intelligence; deep learning; machine learning; prediction

Mesh:

Year:  2021        PMID: 33900125     DOI: 10.1177/03635465211008648

Source DB:  PubMed          Journal:  Am J Sports Med        ISSN: 0363-5465            Impact factor:   6.202


  4 in total

1.  Industry 5.0 technology capabilities in Trauma and Orthopaedics.

Authors:  Karthikeyan P Iyengar; Eindere Zaw Pe; Janaranjan Jalli; Madapura K Shashidhara; Vijay K Jain; Abhishek Vaish; Raju Vaishya
Journal:  J Orthop       Date:  2022-06-06

2.  Health challenges and acute sports injuries restrict weightlifting training of older athletes.

Authors:  Marianne Huebner; Wenjuan Ma
Journal:  BMJ Open Sport Exerc Med       Date:  2022-06-20

3.  Consumer Group Identification Algorithm for Ice and Snow Sports.

Authors:  Ting Zhang; Wei Wang
Journal:  Comput Intell Neurosci       Date:  2022-06-29

4.  Machine Learning Model Identifies Increased Operative Time and Greater BMI as Predictors for Overnight Admission After Outpatient Hip Arthroscopy.

Authors:  Bryant M Song; Yining Lu; Ryan R Wilbur; Ophelie Lavoie-Gagne; Ayoosh Pareek; Brian Forsythe; Aaron J Krych
Journal:  Arthrosc Sports Med Rehabil       Date:  2021-11-12
  4 in total

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