Machine Learning for the Orthopaedic Surgeon Uses and Limitations

被引：29

作者：

Alsoof, Daniel ^{[1
]}

McDonald, Christopher L. ^{[1
]}

Kuris, Eren O. ^{[1
]}

Daniels, Alan H. ^{[1
]}

机构：

[1] Brown Univ, Warren Alpert Med Sch, Dept Orthoped Surg, Providence, RI 02912 USA

来源：

JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME | 2022年 / 104卷 / 17期

关键词：

ARTIFICIAL NEURAL-NETWORKS; 90-DAY READMISSION; HEALTH-CARE; INTELLIGENCE; MODELS; DISCRIMINATION; CLASSIFICATION; CALIBRATION; DISCHARGE; DATABASE;

D O I：

10.2106/JBJS.21.01305

中图分类号：

R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学（修复外科学）];

学科分类号：

摘要：

Machine learning is a subset of artificial intelligence in which computer algorithms are trained to make classifications and predictions based on patterns in data. The utilization of these techniques is rapidly expanding in the field of orthopaedic research. There are several domains in which machine learning has application to orthopaedics, including radiographic diagnosis, gait analysis, implant identification, and patient outcome prediction. Several limitations prevent the widespread use of machine learning in the daily clinical environment. However, future work can overcome these issues and enable machine learning tools to be a useful adjunct for orthopaedic surgeons in their clinical decision-making.

引用

页码：1586 / 1594

页数：9

共 82 条

[1] Machine Learning and Health Care Disparities in Dermatology [J].

Adamson, Adewole S. ;

Smith, Avery .

JAMA DERMATOLOGY, 2018, 154 (11) :1247-1248

[2] Discrimination and Calibration of Clinical Prediction Models Users' Guides to the Medical Literature [J].

Alba, Ana Carolina ;

Agoritsas, Thomas ;

Walsh, Michael ;

Hanna, Steven ;

Iorio, Alfonso ;

Devereaux, P. J. ;

McGinn, Thomas ;

Guyatt, Gordon .

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2017, 318 (14) :1377-1384

[3] Surgical research using national databases [J].

Alluri, Ram K. ;

Leland, Hyuma ;

Heckmann, Nathanael .

ANNALS OF TRANSLATIONAL MEDICINE, 2016, 4 (20)

[4] Artificial Intelligence Based Hierarchical Clustering of Patient Types and Intervention Categories in Adult Spinal Deformity Surgery Towards a New Classification Scheme that Predicts Quality and Value [J].

Ames, Christopher P. ;

Smith, Justin S. ;

Pellise, Ferran ;

Kelly, Michael ;

Alanay, Ahmet ;

Acaroglu, Emre ;

Sanchez Perez-Grueso, Francisco Javier ;

Kleinstuck, Frank ;

Obeid, Ibrahim ;

Vila-Casademunt, Alba ;

Shaffrey, Christopher I., Jr. ;

Burton, Douglas ;

Lafage, Virginie ;

Schwab, Frank ;

Shaffrey Sr, Christopher I. Sr ;

Bess, Shay ;

Serra-Burriel, Miguel .

SPINE, 2019, 44 (13) :915-926

[5] The Brier score does not evaluate the clinical utility of diagnostic tests or prediction models [J].

Melissa Assel ;

Daniel D. Sjoberg ;

Andrew J. Vickers .

Diagnostic and Prognostic Research, 1 (1)

[6] Deep learning predicts hip fracture using confounding patient and healthcare variables [J].

Badgeley, Marcus A. ;

Zech, John R. ;

Oakden-Rayner, Luke ;

Glicksberg, Benjamin S. ;

Liu, Manway ;

Gale, William ;

McConnell, Michael, V ;

Percha, Bethany ;

Snyder, Thomas M. ;

Dudley, Joel T. .

NPJ DIGITAL MEDICINE, 2019, 2 (1)

[7] The role of artificial intelligence and machine learning in predicting orthopaedic outcomes [J].

Bayliss, L. ;

Jones, L. D. .

BONE & JOINT JOURNAL, 2019, 101B (12) :1476-1478

[8] Machine Learning for industrial applications: A comprehensive literature review [J].

Bertolini, Massimo ;

Mezzogori, Davide ;

Neroni, Mattia ;

Zammori, Francesco .

EXPERT SYSTEMS WITH APPLICATIONS, 2021, 175

[9] Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet [J].

Bien, Nicholas ;

Rajpurkar, Pranav ;

Ball, Robyn L. ;

Irvin, Jeremy ;

Park, Allison ;

Jones, Erik ;

Bereket, Michael ;

Patel, Bhavik N. ;

Yeom, Kristen W. ;

Shpanskaya, Katie ;

Halabi, Safwan ;

Zucker, Evan ;

Fanton, Gary ;

Amanatullah, Derek F. ;

Beaulieu, Christopher F. ;

Riley, Geoffrey M. ;

Stewart, Russell J. ;

Blankenberg, Francis G. ;

Larson, David B. ;

Jones, Ricky H. ;

Langlotz, Curtis P. ;

Ng, Andrew Y. ;

Lungren, Matthew P. .

PLOS MEDICINE, 2018, 15 (11)

[10] A Novel Machine Learning Model Developed to Assist in Patient Selection for Outpatient Total Shoulder Arthroplasty [J].

Biron, Dustin R. ;

Sinha, Ishan ;

Kleiner, Justin E. ;

Aluthge, Dilum P. ;

Goodman, Avi D. ;

Sarkar, I. Neil ;

Cohen, Eric ;

Daniels, Alan H. .

JOURNAL OF THE AMERICAN ACADEMY OF ORTHOPAEDIC SURGEONS, 2020, 28 (13) :E580-E585

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