An Overview of Machine Learning in Orthopedic Surgery: An Educational Paper.
J Arthroplasty
; 38(10): 1938-1942, 2023 10.
Article
em En
| MEDLINE
| ID: mdl-37598786
ABSTRACT
The growth of artificial intelligence combined with the collection and storage of large amounts of data in the electronic medical record collection has created an opportunity for orthopedic research and translation into the clinical environment. Machine learning (ML) is a type of artificial intelligence tool well suited for processing the large amount of available data. Specific areas of ML frequently used by orthopedic surgeons performing total joint arthroplasty include tabular data analysis (spreadsheets), medical imaging processing, and natural language processing (extracting concepts from text). Previous studies have discussed models able to identify fractures in radiographs, identify implant type in radiographs, and determine the stage of osteoarthritis based on walking analysis. Despite the growing popularity of ML, there are limitations including its reliance on "good" data, potential for overfitting, long life cycle for creation, and ability to only perform one narrow task. This educational article will further discuss a general overview of ML, discussing these challenges and including examples of successfully published models.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Ortopedia
/
Procedimentos Ortopédicos
Limite:
Humans
Idioma:
En
Revista:
J Arthroplasty
Assunto da revista:
ORTOPEDIA
Ano de publicação:
2023
Tipo de documento:
Article