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Automated retinal imaging and trend analysis – a tool for health monitoring

Authors Roesch K, Swedish T, Raskar R

Received 2 July 2016

Accepted for publication 26 August 2016

Published 23 May 2017 Volume 2017:11 Pages 1015—1020

DOI https://doi.org/10.2147/OPTH.S116265

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Lucy Goodman

Peer reviewer comments 3

Editor who approved publication: Dr Scott Fraser

Karin Roesch, Tristan Swedish, Ramesh Raskar

MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA

Abstract: Most current diagnostic devices are expensive, require trained specialists to operate and gather static images with sparse data points. This leads to preventable diseases going undetected until late stage, resulting in greatly narrowed treatment options. This is especially true for retinal imaging. Future solutions are low cost, portable, self-administered by the patient, and capable of providing multiple data points, population analysis, and trending. This enables preventative interventions through mass accessibility, constant monitoring, and predictive modeling.

Keywords: next-generation imaging technology, early disease indicators, predictive health assessment, predictive analysis, mass accessibility

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