The use of artificial intelligence in musculoskeletal ultrasound: a systematic review of the literature.
Radiol Med
; 129(9): 1405-1411, 2024 Sep.
Article
em En
| MEDLINE
| ID: mdl-39001961
ABSTRACT
PURPOSE:
To systematically review the use of artificial intelligence (AI) in musculoskeletal (MSK) ultrasound (US) with an emphasis on AI algorithm categories and validation strategies. MATERIAL ANDMETHODS:
An electronic literature search was conducted for articles published up to January 2024. Inclusion criteria were the use of AI in MSK US, involvement of humans, English language, and ethics committee approval.RESULTS:
Out of 269 identified papers, 16 studies published between 2020 and 2023 were included. The research was aimed at predicting diagnosis and/or segmentation in a total of 11 (69%) out of 16 studies. A total of 11 (69%) studies used deep learning (DL)-based algorithms, three (19%) studies employed conventional machine learning (ML)-based algorithms, and two (12%) studies employed both conventional ML- and DL-based algorithms. Six (38%) studies used cross-validation techniques with K-fold cross-validation being the most frequently employed (n = 4, 25%). Clinical validation with separate internal test datasets was reported in nine (56%) papers. No external clinical validation was reported.CONCLUSION:
AI is a topic of increasing interest in MSK US research. In future studies, attention should be paid to the use of validation strategies, particularly regarding independent clinical validation performed on external datasets.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Inteligência Artificial
/
Ultrassonografia
/
Doenças Musculoesqueléticas
Limite:
Humans
Idioma:
En
Revista:
Radiol Med
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Itália