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Generative Pre-Trained Transformers (GPT) and Space Health: A Potential Frontier in Astronaut Health During Exploration Missions
Ethan Waisberg (University College Dublin), Joshua Ong (University of Michigan, Michigan Medicine), Mouayad Masalkhi (University College Dublin), Nasif Zaman (University of Nevada, Reno), Sharif Amit Kamran (University of Nevada, Reno), Prithul Sarker (University of Nevada, Reno), Andrew G. Lee (Houston Methodist, The University of Texas MD Anderson Cancer Center), Alireza Tavakkoli (University of Nevada, Reno)
Résumé : In anticipation of space exploration where astronauts are traveling away from Earth, and for longer durations with an increasing communication lag, artificial intelligence (AI) frameworks such as large language learning models (LLMs) that can be trained on Earth can provide real-time answers. This emerging technology may be helpful for acute medical emergencies, particularly in austere and distant space environments. In this manuscript, we provide an overview of generative pre-trained transformer (GPT) technology, a rapidly emerging AI technology, and implications, considerations, and limitations of such technology for space health.