Forecasting Risk of Future Rapid Glaucoma Worsening Using Early Visual Field, OCT, and Clinical Data.

Herbert, Patrick; Hou, Kaihua; Bradley, Chris; Hager, Greg; Boland, Michael V; Ramulu, Pradeep; Unberath, Mathias; Yohannan, Jithin

Herbert, Patrick; Hou, Kaihua; Bradley, Chris; Hager, Greg; Boland, Michael V; Ramulu, Pradeep; Unberath, Mathias; Yohannan, Jithin.

Afiliação

Herbert P; Malone Center For Engineering in Healthcare, Johns Hopkins University, Baltimore, Maryland.
Hou K; Malone Center For Engineering in Healthcare, Johns Hopkins University, Baltimore, Maryland.
Bradley C; Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland.
Hager G; Malone Center For Engineering in Healthcare, Johns Hopkins University, Baltimore, Maryland.
Boland MV; Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, Massachusetts.
Ramulu P; Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland.
Unberath M; Malone Center For Engineering in Healthcare, Johns Hopkins University, Baltimore, Maryland.
Yohannan J; Malone Center For Engineering in Healthcare, Johns Hopkins University, Baltimore, Maryland; Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland. Electronic address: jyohann1@jhmi.edu.

Ophthalmol Glaucoma ; 6(5): 466-473, 2023.

Article em En | MEDLINE | ID: mdl-36944385

Assuntos

Glaucoma; Compostos Orgânicos Voláteis; Humanos; Campos Visuais; Testes de Campo Visual/métodos; Tomografia de Coerência Óptica/métodos; Estudos Retrospectivos

Palavras-chave

Deep learning; forecasting; glaucoma; transformers

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glaucoma / Compostos Orgânicos Voláteis Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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