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.
Original language | English (US) |
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Pages (from-to) | 69-71 |
Number of pages | 3 |
Journal | Life Sciences in Space Research |
Volume | 33 |
DOIs | |
State | Published - May 2022 |
Keywords
- Long-duration spaceflight
- Machine learning
- Non-invasive anemia detection
- Retinal fundus photo
- Anemia/etiology
- Humans
- Astronauts
- Weightlessness
- Space Flight
- Deep Learning
ASJC Scopus subject areas
- Astronomy and Astrophysics
- Radiation
- Agricultural and Biological Sciences (miscellaneous)
- Health, Toxicology and Mutagenesis
- Ecology