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Artificial Intelligence Algorithms to Diagnose Glaucoma and Detect Glaucoma Progression: Translation to Clinical Practice.
Mursch-Edlmayr, Anna S; Ng, Wai Siene; Diniz-Filho, Alberto; Sousa, David C; Arnold, Louis; Schlenker, Matthew B; Duenas-Angeles, Karla; Keane, Pearse A; Crowston, Jonathan G; Jayaram, Hari.
Afiliación
  • Mursch-Edlmayr AS; Department of Ophthalmology Johannes Kepler University, Linz, Austria.
  • Ng WS; Cardiff Eye Unit, University Hospital of Wales, Cardiff, UK.
  • Diniz-Filho A; Department of Ophthalmology and Otorhinolaryngology, Federal University of Minas Gerais, Belo Horizonte, Brazil.
  • Sousa DC; Department of Ophthalmology, Hospital de Santa Maria, Lisbon, Portugal.
  • Arnold L; Department of Ophthalmology, University Hospital, Dijon, France.
  • Schlenker MB; Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Canada.
  • Duenas-Angeles K; Department of Ophthalmology, Universidad Nacional Autónoma de Mexico, Mexico City, Mexico.
  • Keane PA; NIHR Biomedical Research Centre for Ophthalmology, UCL Institute of Ophthalmology & Moorfields Eye Hospital, London, UK.
  • Crowston JG; Centre for Vision Research, Duke-NUS Medical School, Singapore.
  • Jayaram H; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Transl Vis Sci Technol ; 9(2): 55, 2020 10.
Article en En | MEDLINE | ID: mdl-33117612
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Glaucoma Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Transl Vis Sci Technol Año: 2020 Tipo del documento: Article País de afiliación: Austria Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Glaucoma Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Transl Vis Sci Technol Año: 2020 Tipo del documento: Article País de afiliación: Austria Pais de publicación: Estados Unidos