Generative Pre-Trained Transformers (GPT) and Space Health: A Potential Frontier in Astronaut Health During Exploration Missions

Ethan Waisberg, Joshua Ong, Mouayad Masalkhi, Nasif Zaman, Sharif Amit Kamran, Prithul Sarker, Andrew G. Lee, Alireza Tavakkoli

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)532-536
Number of pages5
JournalPrehospital and Disaster Medicine
Volume38
Issue number4
DOIs
StatePublished - Aug 2 2023

Keywords

  • artificial intelligence
  • generative pre-trained transformer
  • space medicine
  • spaceflight associated neuro-ocular syndrome
  • Time Factors
  • Humans
  • Artificial Intelligence
  • Astronauts
  • Space Flight

ASJC Scopus subject areas

  • Emergency
  • Emergency Medicine

Fingerprint

Dive into the research topics of 'Generative Pre-Trained Transformers (GPT) and Space Health: A Potential Frontier in Astronaut Health During Exploration Missions'. Together they form a unique fingerprint.

Cite this