title: Assessment of Computer-Assisted Screening Technology for Diabetic Retinopathy Screening in India - Preliminary Results and Recommendations from a Pilot Study.
abstract: BACKGROUND
  Diabetic retinopathy (DR) is regarded as a major cause of preventable blindness, which can be detected and treated if the cases are identified by screening. Screening for DR is therefore being practiced in developed countries, and tele screening has been a prominent model of delivery of eye care for screening DR.
  
  
  OBJECTIVE
  Our study has been designed to provide inputs on the suitability of a computer-assisted DR screening solution, for use in a larger prospective study.
  
  
  METHODS
  Computer-assisted screening technology for grading diabetic retinopathy from fundus images by a set of machine learning algorithms.
  
  
  RESULTS
  The preliminary recommendations from a pilot study of a system built using the public datasets and retrospective images, showed a good sensitivity and specificity.
  
  
  CONCLUSIONS
  The machine learning algorithms has to be validated on a larger dataset of a population level study.
authors: Sankara Nethralaya, Chennai, India.
authors: Sheila
authors: S
authors: John
authors: Healthcare Technology Innovation Centre, IIT Madras, India.
authors: Keerthi
authors: K
authors: Ram
authors: Healthcare Technology Innovation Centre, IIT Madras, India.
authors: Mohanasankar
authors: M
authors: Sivaprakasam
authors: Sankara Nethralaya, Chennai, India.
authors: Rajiv
authors: R
authors: Raman
mesh_terms: D000465:Algorithms; D003930:Diabetic Retinopathy / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D007194:India; D000069550:Machine Learning; D008403:Mass Screening; D010865:Pilot Projects; D012680:Sensitivity and Specificity