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A non-invasive approach to monitor anemia during long-duration spaceflight with retinal fundus images and deep learning
Journal article   Open access

A non-invasive approach to monitor anemia during long-duration spaceflight with retinal fundus images and deep learning

Ethan Waisberg, Joshua Ong, Nasif Zaman, Sharif Amit Kamran, Andrew G. Lee and Alireza Tavakkoli
Life sciences in space research, Vol.33, pp.69-71
05/2022
DOI: 10.1016/j.lssr.2022.04.004
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https://doi.org/10.1016/j.lssr.2022.04.004 View
Published (Version of record) Open Access

Abstract

During spaceflight, astronauts can experience significantly higher levels of hemolysis. With future space missions exposing astronauts to longer periods of microgravity, such as missions to Mars, there will be a need to better understand this phenomenon. We have proposed that retinal fundus photography and deep learning may be utilized to help further understand this microgravity-induced, anemic process for future spaceflight. By utilizing astronaut and terrestrial analog metadata, a foundation can be built to develop an algorithm that allows for non-invasive retinal imaging to quantify hemoglobin levels and detect anemia during spaceflight. This approach would allow for a non-invasive retinal photograph that can be done frequently during spaceflight as opposed to an invasive blood draw and subsequent tests.
Machine Learning Long-duration spaceflight Non-invasive anemia detection Retinal fundus photo

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