Automated retinal imaging and trend analysis – a tool for health monitoring
© 2017 Roesch et al. 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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Informa UK Limited
2021
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| Online Access: | https://hdl.handle.net/1721.1/135722 |
| _version_ | 1826213187519774720 |
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| author | Roesch, Karin Swedish, Tristan Raskar, Ramesh |
| author_facet | Roesch, Karin Swedish, Tristan Raskar, Ramesh |
| author_sort | Roesch, Karin |
| collection | MIT |
| description | © 2017 Roesch et al. 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. |
| first_indexed | 2024-09-23T15:45:03Z |
| format | Article |
| id | mit-1721.1/135722 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:45:03Z |
| publishDate | 2021 |
| publisher | Informa UK Limited |
| record_format | dspace |
| spelling | mit-1721.1/1357222021-10-28T03:19:47Z Automated retinal imaging and trend analysis – a tool for health monitoring Roesch, Karin Swedish, Tristan Raskar, Ramesh © 2017 Roesch et al. 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. 2021-10-27T20:29:00Z 2021-10-27T20:29:00Z 2017 2019-08-02T12:46:07Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/135722 en 10.2147/OPTH.S116265 Clinical Ophthalmology Creative Commons Attribution Noncommercial 3.0 unported license https://creativecommons.org/licenses/by-nc/3.0/ application/pdf Informa UK Limited Dove Press |
| spellingShingle | 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 |
| url | https://hdl.handle.net/1721.1/135722 |
| work_keys_str_mv | AT roeschkarin automatedretinalimagingandtrendanalysisatoolforhealthmonitoring AT swedishtristan automatedretinalimagingandtrendanalysisatoolforhealthmonitoring AT raskarramesh automatedretinalimagingandtrendanalysisatoolforhealthmonitoring |