Artificial intelligence and machine learning: an introduction for orthopaedic surgeons

被引：33

作者：

Martin, R. Kyle ^{[1
]}

Ley, Christophe ^{[2
]}

Pareek, Ayoosh ^{[3
]}

Groll, Andreas ^{[4
]}

Tischer, Thomas ^{[5
]}

Seil, Romain ^{[6
,7
]}

机构：

[1] Univ Minnesota, Dept Orthoped Surg, Minneapolis, MN 55417 USA

[2] Univ Ghent, Dept Appl Math Comp Sci & Stat, Ghent, Belgium

[3] Mayo Clin, Dept Orthopaed Surg, Rochester, MN USA

[4] TU Dortmund Univ, Dept Stat, Dortmund, Germany

[5] Univ Med Rostock, Dept Orthopaed Surg, Rostock, Germany

[6] Ctr Hosp Luxembourg, Dept Orthopaed Surg, Luxembourg, Luxembourg

[7] Luxembourg Inst Hlth, Luxembourg, Luxembourg

来源：

KNEE SURGERY SPORTS TRAUMATOLOGY ARTHROSCOPY | 2022年 / 30卷 / 02期

关键词：

Machine learning; Artificial intelligence; Orthopaedic surgery; Sports medicine; CLINICALLY MEANINGFUL OUTCOMES; OSTEOCHONDRAL ALLOGRAFT; CARTILAGE DEFECTS; PREDICTION; CLASSIFICATION; HEALTH;

D O I：

10.1007/s00167-021-06741-2

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：

The application of artificial intelligence (AI) and machine learning to the field of orthopaedic surgery is rapidly increasing. While this represents an important step in the advancement of our specialty, the concept of AI is rich with statistical jargon and techniques unfamiliar to many clinicians. This knowledge gap may limit the impact and potential of these novel techniques. We aim to narrow this gap in a way that is accessible for all orthopaedic surgeons. With this manuscript, we introduce the concept of AI and machine learning and give examples of how it can impact clinical practice and patient care.

引用

页码：361 / 364

页数：4

共 50 条

[41] Bias in Artificial Intelligence and Machine Learning
Dube, Raghavi
Shafana, Jeenath N.
[J]. BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS, 2021, 14 (09): : 227 - 234
[42] Artificial Intelligence and Machine Learning in Cardiology
Deo, Rahul C.
[J]. CIRCULATION, 2024, 149 (16) : 1235 - 1237
[43] Machine Learning and Artificial Intelligence in Radiology
Sana, Munib
[J]. JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2018, 15 (08) : 1139 - 1142
[44] ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN NDT
Aldrin, John
[J]. MATERIALS EVALUATION, 2023, 81 (07) : 7 - 8
[45] Machine learning and artificial intelligence in haematology
Shouval, Roni
Fein, Joshua A.
Savani, Bipin
Mohty, Mohamad
Nagler, Arnon
[J]. BRITISH JOURNAL OF HAEMATOLOGY, 2021, 192 (02) : 239 - 250
[46] Artificial Intelligence and Machine Learning for materials
Zheng, Yuebing
[J]. Current Opinion in Solid State and Materials Science, 2025, 34
[47] Artificial Intelligence and Machine Learning in Cardiology
Westcott, R. Jeffrey
Tcheng, James E.
[J]. JACC-CARDIOVASCULAR INTERVENTIONS, 2019, 12 (14) : 1312 - 1314
[48] MACHINE LEARNING IN ARTIFICIAL-INTELLIGENCE
BRATKO, I
[J]. ARTIFICIAL INTELLIGENCE IN ENGINEERING, 1993, 8 (03): : 159 - 164
[49] Artificial intelligence and machine learning in haematology
Sivapalaratnam, Suthesh
[J]. BRITISH JOURNAL OF HAEMATOLOGY, 2019, 185 (02) : 207 - 208
[50] Artificial Intelligence and Machine Learning in Sport Research: An Introduction for Non-data Scientists
Chmait, Nader
Westerbeek, Hans
[J]. FRONTIERS IN SPORTS AND ACTIVE LIVING, 2021, 3

← 1 2 3 4 5 →