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Automated retinal imaging and trend analysis – a tool for health monitoring
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....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5449101/ https://www.ncbi.nlm.nih.gov/pubmed/28579753 http://dx.doi.org/10.2147/OPTH.S116265 |
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author | Roesch, Karin Swedish, Tristan Raskar, Ramesh |
author_facet | Roesch, Karin Swedish, Tristan Raskar, Ramesh |
author_sort | Roesch, Karin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5449101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-54491012017-06-02 Automated retinal imaging and trend analysis – a tool for health monitoring Roesch, Karin Swedish, Tristan Raskar, Ramesh Clin Ophthalmol Perspectives 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. Dove Medical Press 2017-05-23 /pmc/articles/PMC5449101/ /pubmed/28579753 http://dx.doi.org/10.2147/OPTH.S116265 Text en © 2017 Roesch et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Perspectives Roesch, Karin Swedish, Tristan Raskar, Ramesh Automated retinal imaging and trend analysis – a tool for health monitoring |
title | Automated retinal imaging and trend analysis – a tool for health monitoring |
title_full | Automated retinal imaging and trend analysis – a tool for health monitoring |
title_fullStr | Automated retinal imaging and trend analysis – a tool for health monitoring |
title_full_unstemmed | Automated retinal imaging and trend analysis – a tool for health monitoring |
title_short | Automated retinal imaging and trend analysis – a tool for health monitoring |
title_sort | automated retinal imaging and trend analysis – a tool for health monitoring |
topic | Perspectives |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5449101/ https://www.ncbi.nlm.nih.gov/pubmed/28579753 http://dx.doi.org/10.2147/OPTH.S116265 |
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