The power of quantitative algorithms in nailfold videocapillaroscopy-Reference-Cited by-同舟云学术

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The power of quantitative algorithms in nailfold videocapillaroscopy

Published:2024-06-19 Issue: Volume: Page:
ISSN:1462-0324
Container-title:Rheumatology
language:en
Short-container-title:

Author:

Valenzuela Antonia¹,Concha Sara²,Kayser Cristiane³

Affiliation:

1. Rheumatology and Clinical Immunology Department, Pontificia Universidad Catolica de Chile , Santiago, Chile

2. Pediatric Infectious Diseases and Immunology Department, Pontificia Universidad Catolica de Chile , Santiago, Chile

3. Rheumatology Division, Escola Paulista de Medicina, Federal University of São Paulo (UNIFESP) , São Paulo, Brazil

Publisher

Oxford University Press (OUP)

Link

https://academic.oup.com/rheumatology/advance-article-pdf/doi/10.1093/rheumatology/keae330/58485736/keae330.pdf

Reference10 articles.

1. Vision transformer assisting rheumatologists in screening for capillaroscopy changes in systemic sclerosis: an artificial intelligence model;Garaiman;Rheumatology (Oxford),2023

2. Capi-score: a quantitative algorithm for identifying disease patterns in nailfold videocapillaroscopy;Gracia Tello;Rheumatology (Oxford),2024

3. Fast track algorithm: how to differentiate a “scleroderma pattern” from a ”non-scleroderma pattern”;Smith;Autoimmun Rev,2019

4. Quantitative nailfold capillaroscopy-update and possible next steps;Herrick;Rheumatology (Oxford),2021

5. Reproducibility of capillaroscopic classifications of systemic sclerosis: results from the SCLEROCAP study;Boulon;Rheumatology (Oxford),2017

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