Cargando…
Objective Diagnosis of Fibromyalgia Using Neuroretinal Evaluation and Artificial Intelligence
BACKGROUND/OBJECTIVE: This study aims to identify objective biomarkers of fibromyalgia (FM) by applying artificial intelligence algorithms to structural data on the neuroretina obtained using swept-source optical coherence tomography (SS-OCT). METHOD: The study cohort comprised 29 FM patients and 32...
Autores principales: | Boquete, Luciano, Vicente, Maria-José, Miguel-Jiménez, Juan-Manuel, Sánchez-Morla, Eva-María, Ortiz, Miguel, Satue, Maria, Garcia-Martin, Elena |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Asociacion Espanola de Psicologia Conductual
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873600/ https://www.ncbi.nlm.nih.gov/pubmed/35281771 http://dx.doi.org/10.1016/j.ijchp.2022.100294 |
Ejemplares similares
-
Automatic Diagnosis of Bipolar Disorder Using Optical Coherence Tomography Data and Artificial Intelligence
por: Sánchez-Morla, Eva M., et al.
Publicado: (2021) -
Early Diagnosis of Multiple Sclerosis Using Swept-Source Optical Coherence Tomography and Convolutional Neural Networks Trained with Data Augmentation
por: López-Dorado, Almudena, et al.
Publicado: (2021) -
Empirical Mode Decomposition-Based Filter Applied to Multifocal Electroretinograms in Multiple Sclerosis Diagnosis
por: de Santiago, Luis, et al.
Publicado: (2019) -
Empirical mode decomposition processing to improve multifocal-visual-evoked-potential signal analysis in multiple sclerosis
por: de Santiago, Luis, et al.
Publicado: (2018) -
Computer-Aided Diagnosis of Multiple Sclerosis Using a Support Vector Machine and Optical Coherence Tomography Features
por: Cavaliere, Carlo, et al.
Publicado: (2019)