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Terrestrial health applications of visual assessment technology and machine learning in spaceflight associated neuro-ocular syndrome

The neuro-ocular effects of long-duration spaceflight have been termed Spaceflight Associated Neuro-Ocular Syndrome (SANS) and are a potential challenge for future, human space exploration. The underlying pathogenesis of SANS remains ill-defined, but several emerging translational applications of te...

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Autores principales: Ong, Joshua, Tavakkoli, Alireza, Zaman, Nasif, Kamran, Sharif Amit, Waisberg, Ethan, Gautam, Nikhil, Lee, Andrew G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411571/
https://www.ncbi.nlm.nih.gov/pubmed/36008494
http://dx.doi.org/10.1038/s41526-022-00222-7
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author Ong, Joshua
Tavakkoli, Alireza
Zaman, Nasif
Kamran, Sharif Amit
Waisberg, Ethan
Gautam, Nikhil
Lee, Andrew G.
author_facet Ong, Joshua
Tavakkoli, Alireza
Zaman, Nasif
Kamran, Sharif Amit
Waisberg, Ethan
Gautam, Nikhil
Lee, Andrew G.
author_sort Ong, Joshua
collection PubMed
description The neuro-ocular effects of long-duration spaceflight have been termed Spaceflight Associated Neuro-Ocular Syndrome (SANS) and are a potential challenge for future, human space exploration. The underlying pathogenesis of SANS remains ill-defined, but several emerging translational applications of terrestrial head-mounted, visual assessment technology and machine learning frameworks are being studied for potential use in SANS. To develop such technology requires close consideration of the spaceflight environment which is limited in medical resources and imaging modalities. This austere environment necessitates the utilization of low mass, low footprint technology to build a visual assessment system that is comprehensive, accessible, and efficient. In this paper, we discuss the unique considerations for developing this technology for SANS and translational applications on Earth. Several key limitations observed in the austere spaceflight environment share similarities to barriers to care for underserved areas on Earth. We discuss common terrestrial ophthalmic diseases and how machine learning and visual assessment technology for SANS can help increase screening for early intervention. The foundational developments with this novel system may help protect the visual health of both astronauts and individuals on Earth.
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spelling pubmed-94115712022-08-27 Terrestrial health applications of visual assessment technology and machine learning in spaceflight associated neuro-ocular syndrome Ong, Joshua Tavakkoli, Alireza Zaman, Nasif Kamran, Sharif Amit Waisberg, Ethan Gautam, Nikhil Lee, Andrew G. NPJ Microgravity Perspective The neuro-ocular effects of long-duration spaceflight have been termed Spaceflight Associated Neuro-Ocular Syndrome (SANS) and are a potential challenge for future, human space exploration. The underlying pathogenesis of SANS remains ill-defined, but several emerging translational applications of terrestrial head-mounted, visual assessment technology and machine learning frameworks are being studied for potential use in SANS. To develop such technology requires close consideration of the spaceflight environment which is limited in medical resources and imaging modalities. This austere environment necessitates the utilization of low mass, low footprint technology to build a visual assessment system that is comprehensive, accessible, and efficient. In this paper, we discuss the unique considerations for developing this technology for SANS and translational applications on Earth. Several key limitations observed in the austere spaceflight environment share similarities to barriers to care for underserved areas on Earth. We discuss common terrestrial ophthalmic diseases and how machine learning and visual assessment technology for SANS can help increase screening for early intervention. The foundational developments with this novel system may help protect the visual health of both astronauts and individuals on Earth. Nature Publishing Group UK 2022-08-25 /pmc/articles/PMC9411571/ /pubmed/36008494 http://dx.doi.org/10.1038/s41526-022-00222-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Perspective
Ong, Joshua
Tavakkoli, Alireza
Zaman, Nasif
Kamran, Sharif Amit
Waisberg, Ethan
Gautam, Nikhil
Lee, Andrew G.
Terrestrial health applications of visual assessment technology and machine learning in spaceflight associated neuro-ocular syndrome
title Terrestrial health applications of visual assessment technology and machine learning in spaceflight associated neuro-ocular syndrome
title_full Terrestrial health applications of visual assessment technology and machine learning in spaceflight associated neuro-ocular syndrome
title_fullStr Terrestrial health applications of visual assessment technology and machine learning in spaceflight associated neuro-ocular syndrome
title_full_unstemmed Terrestrial health applications of visual assessment technology and machine learning in spaceflight associated neuro-ocular syndrome
title_short Terrestrial health applications of visual assessment technology and machine learning in spaceflight associated neuro-ocular syndrome
title_sort terrestrial health applications of visual assessment technology and machine learning in spaceflight associated neuro-ocular syndrome
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411571/
https://www.ncbi.nlm.nih.gov/pubmed/36008494
http://dx.doi.org/10.1038/s41526-022-00222-7
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