Performances of machine learning algorithms in discriminating sacroiliitis features on MRI: a systematic review

OBJECTIVES: Summarise the evidence of the performance of the machine learning algorithm in discriminating sacroiliitis features on MRI and compare it with the accuracy of human physicians. METHODS: MEDLINE, EMBASE, CIHNAL, Web of Science, IEEE, American College of Rheumatology and European Alliance...

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Detalles Bibliográficos
Autores principales: Moon, Sun Jae, Lee, Seulkee, Hwang, Jinseub, Lee, Jaejoon, Kang, Seonyoung, Cha, Hoon-Suk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Spondyloarthritis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668284/
https://www.ncbi.nlm.nih.gov/pubmed/37996126
http://dx.doi.org/10.1136/rmdopen-2023-003783

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668284/
https://www.ncbi.nlm.nih.gov/pubmed/37996126
http://dx.doi.org/10.1136/rmdopen-2023-003783

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