Foveal Therapy in Blue Cone Monochromacy: Predictions of Visual Potential From Artificial Intelligence.

Sumaroka, Alexander; Cideciyan, Artur V; Sheplock, Rebecca; Wu, Vivian; Kohl, Susanne; Wissinger, Bernd; Jacobson, Samuel G

Sumaroka, Alexander; Cideciyan, Artur V; Sheplock, Rebecca; Wu, Vivian; Kohl, Susanne; Wissinger, Bernd; Jacobson, Samuel G.

Afiliação

Sumaroka A; Scheie Eye Institute, Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Cideciyan AV; Scheie Eye Institute, Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Sheplock R; Scheie Eye Institute, Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Wu V; Scheie Eye Institute, Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Kohl S; Molecular Genetics Laboratory, Institute for Ophthalmic Research, Centre for Ophthalmology, University of Tüebingen, Tüebingen, Germany.
Wissinger B; Molecular Genetics Laboratory, Institute for Ophthalmic Research, Centre for Ophthalmology, University of Tüebingen, Tüebingen, Germany.
Jacobson SG; Scheie Eye Institute, Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.

Front Neurosci ; 14: 800, 2020.

Article em En | MEDLINE | ID: mdl-32848570

Palavras-chave

chromatic perimetry; cones; machine learning; optical coherence tomography; random forest; retinal degeneration; rods; visual acuity

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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