Vision transformer assisting rheumatologists in screening for capillaroscopy changes in systemic sclerosis: an artificial intelligence model

OBJECTIVES: The first objective of this study was to implement and assess the performance and reliability of a vision transformer (ViT)-based deep-learning model, an ‘off-the-shelf’ artificial intelligence solution, for identifying distinct signs of microangiopathy in nailfold capilloroscopy (NFC) i...

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Detalles Bibliográficos
Autores principales: Garaiman, Alexandru, Nooralahzadeh, Farhad, Mihai, Carina, Gonzalez, Nicolas Perez, Gkikopoulos, Nikitas, Becker, Mike Oliver, Distler, Oliver, Krauthammer, Michael, Maurer, Britta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Clinical Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10321092/
https://www.ncbi.nlm.nih.gov/pubmed/36347487
http://dx.doi.org/10.1093/rheumatology/keac541

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10321092/
https://www.ncbi.nlm.nih.gov/pubmed/36347487
http://dx.doi.org/10.1093/rheumatology/keac541

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