Artificial Intelligence Algorithms to Diagnose Glaucoma and Detect Glaucoma Progression: Translation to Clinical Practice.

Abstract

Authors

• Anna S Mursch-Edlmayr
  Department of Ophthalmology Johannes Kepler University, Linz, Austria.
• Wai Siene Ng
  Cardiff Eye Unit, University Hospital of Wales, Cardiff, UK.
• Alberto Diniz-Filho
  Department of Ophthalmology and Otorhinolaryngology, Federal University of Minas Gerais, Belo Horizonte, Brazil.
• David C Sousa
  Department of Ophthalmology, Hospital de Santa Maria, Lisbon, Portugal.
• Louis Arnold
  Department of Ophthalmology, University Hospital, Dijon, France.
• Matthew B Schlenker
  Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Canada.
• Karla Duenas-Angeles
  Department of Ophthalmology, Universidad Nacional Autónoma de Mexico, Mexico City, Mexico.
• Pearse A Keane
  National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
• Jonathan G Crowston
  Centre for Vision Research, Duke-NUS Medical School, Singapore.
• Hari Jayaram
  NIHR Biomedical Research Centre for Ophthalmology, UCL Institute of Ophthalmology & Moorfields Eye Hospital, London, UK.

Keywords

External Resources