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Perspective | Open Access

Challenges of Artificial Intelligence in Space Medicine

Ethan Waisberg1 ( )Joshua Ong2Phani Paladugu3Sharif Amit Kamran4Nasif Zaman4Andrew G. Lee5,6Alireza Tavakkoli4
University College Dublin School of Medicine, Belfield, Dublin, Ireland
Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
Human-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Reno, Nevada, USA
Center for Space Medicine, Baylor College of Medicine, Houston, Texas, USA
Department of Ophthalmology, Blanton Eye Institute, Houston Methodist Hospital, Houston, Texas, USA
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Abstract

The human body undergoes many changes during long-duration spaceflight including musculoskeletal, visual, and behavioral changes. Several of these microgravity-induced effects serve as potential barriers to future exploration missions. The advent of artificial intelligence (AI) in medicine has progressed rapidly and has many promising applications for maintaining and monitoring astronaut health during spaceflight. However, the austere environment and unique nature of spaceflight present with challenges in successfully training and deploying successful systems for upholding astronaut health and mission performance. In this article, the dynamic barriers facing AI development in space medicine are explored. These diverse challenges range from limited astronaut data for algorithm training to ethical/legal considerations in deploying automated diagnostic systems in the setting of the medically limited space environment. How to address these challenges is then discussed and future directions for this emerging field of research.

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Space: Science & Technology
Article number: 9852872

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Cite this article:
Waisberg E, Ong J, Paladugu P, et al. Challenges of Artificial Intelligence in Space Medicine. Space: Science & Technology, 2022, 2: 9852872. https://doi.org/10.34133/2022/9852872

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Received: 19 June 2022
Accepted: 26 September 2022
Published: 29 October 2022
© 2022 Ethan Waisberg et al. Exclusive Licensee Beijing Institute of Technology Press.

Distributed under a Creative Commons Attribution License (CC BY 4.0).