CAPI-Detect: machine learning in capillaroscopy reveals new variables influencing diagnosis

CAPI-Detect, an ML-based model, provides an unbiased, quantitative analysis of capillary structure, shape, size and density, significantly improving capillaroscopic pattern identification.

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Publication Details

Journal
Lara D. Veeken
Published
2025-02-05
DOI
https://doi.org/10.1093/rheumatology/keaf073
Citations
14
Primary Topic
Systemic Sclerosis and Related Diseases
Type
article
Field-Weighted Citation Impact
20.60

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article

CAPI-Detect: machine learning in capillaroscopy reveals new variables influencing diagnosis

Diana Cristina Varela, Eduardo Ramos Ibáñez, Miguel Martín Cascón, Luís Sáez-Comet et al.
14 citations
Lara D. Veeken
Systemic Sclerosis and Related Diseases
20.60
article

CAPI-Detect: machine learning in capillaroscopy reveals new variables influencing diagnosis

Diana Cristina Varela, Eduardo Ramos Ibáñez, Miguel Martín Cascón, Luís Sáez-Comet, G. Ivan Maldonado, M. Navas, J. A. Aramburu, M. Freire, Borja Gracia-Tello, José Todolí Parra, Laura Alejandra Granados Vela, Adela Marín Ballvé, Gema María Lledó‐Ibáñez, Alfredo Castillo, Carmen Pilar Simeón‐Aznar, Laura Pérez Abad, Elena Martínez Robles
article en
14 citations

Abstract

CAPI-Detect, an ML-based model, provides an unbiased, quantitative analysis of capillary structure, shape, size and density, significantly improving capillaroscopic pattern identification.

Lara D. VeekenVol. 64(6)
Universidad Pontificia Bolivariana (CO), Vanderbilt University (US), Universidad de Zaragoza (ES), Hospital Universitario La Paz (ES), Hospital Universitari i Politècnic La Fe (ES), Hospital General Universitario Morales Meseguer (ES), Complejo Hospitalario Universitario de Santiago (ES), Municipality of Medellín (CO), Hospital Universitario Miguel Servet (ES), Hospital Clínic de Barcelona (ES), Vall d'Hebron Hospital Universitari (ES), Hospital Clínico Universitario Lozano Blesa (ES), Vanderbilt Health (US)
Boehringer Ingelheim
Openalex Percentile: Top 0%
Systemic Sclerosis and Related Diseases
20.60
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