Predicting Visual Acuity by Using Machine Learning in Patients Treated for Neovascular Age-Related Macular Degeneration.

Abstract

Authors

• Markus Rohm
  Department of Ophthalmology, Ludwig-Maximilians-University Munich, Germany; Department of Computer Science, Ludwig-Maximilians-University Munich, Germany.
• Volker Tresp
  Department of Computer Science, Ludwig-Maximilians-University Munich, Germany.
• Michael Müller
  Department of Ophthalmology, Ludwig-Maximilians-University Munich, Germany.
• Christoph Kern
  Department of Ophthalmology, Ludwig-Maximilians-University Munich, Germany.
• Ilja Manakov
  ImFusion GmbH, Munich , Germany.
• Maximilian Weiss
  Department of Ophthalmology, Ludwig-Maximilians-University Munich, Germany.
• Dawn A Sim
  National Institutes of Health Research Biomedical Research Centre Biomedical Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
• Siegfried Priglinger
  Department of Ophthalmology, Ludwig-Maximilians-University Munich, Germany.
• 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.
• Karsten Kortuem
  Department of Ophthalmology, Ludwig-Maximilians-University Munich, Germany; Moorfields Eye Hospital, London, United Kingdom. Electronic address: karsten.kortuem@med.uni-muenchen.de.

Keywords

External Resources