Artificial intelligence-quantified schisis volume as a structural endpoint for gene therapy clinical trials in X-linked retinoschisis.

Abstract

Authors

• Tien-En Tan
  Singapore Eye Research Institute, Singapore National Eye Centre.
• Peilun Dai
  Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
• Jonathan Hensman
  Department of Ophthalmology, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.
• Peter Kiraly
  Oxford Eye Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
• Beau J Fenner
  Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
• Yong Liu
  Department of Critical care medicine, Shenzhen Hospital, Southern Medical University, Guangdong, Shenzhen, China.
• Rick S M Goh
  Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore.
• Ian C Han
  The University of Iowa Institute for Vision Research, The University of Iowa, Iowa City, Iowa, USA.
• Daniel S W Ting
  Singapore National Eye Center, Duke-National University of Singapore Medical School, Singapore 168751, Singapore; National Institutes of Health Research Biomedical Research Centre Biomedical Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK. Electronic address: daniel.ting.s.w@singhealth.com.sg.
• Camiel J F Boon
  Department of Ophthalmology, Leiden University Medical Center, P. O. Box 9600, 2300 RC, Leiden, The Netherlands. cjfboon@hotmail.com.
• M Dominik Fischer
  Oxford Eye Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

Keywords

External Resources