Terrestrial Health Applications of Visual Assessment Technology and Machine Learning in Spaceflight Associated Neuro-Ocular Syndrome

Authors

Joshua Ong
Alireza Tavakkoli
Nasif Zaman
Sharif Amit Kamran
Ethan Waisberg
Nikhil Gautam
Andrew G Lee

Publication Date

8-25-2022

Journal

npj Microgravity

Abstract

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.

Keywords

Eye manifestations, Disease prevention

DOI

10.1038/s41526-022-00222-7

PMID

36008494

PMCID

PMC9411571

PubMedCentral® Posted Date

8-25-2022

PubMedCentral® Full Text Version

Post-print

Published Open-Access

yes