Artificial Intelligence and Telemedicine Beyond Earth: A Systematic Review of Biomedical Innovations from Space to Planetary Healthcare
Palabras clave:
artificial intelligence, telemedicine, space medicine, planetary healthcare, biomedical innovation, generative AIResumen
Artificial intelligence (AI) and telemedicine are rapidly transforming healthcare delivery, particularly in remote and resource-limited environments. In human space exploration, these technologies play a crucial role by enabling autonomous clinical decision-making, continuous physiological monitoring, and early detection of health risks during missions far from Earth. This study presents a systematic review of AI-driven and telemedicine innovations developed for space medicine and examines their translational impact on terrestrial healthcare systems. Following PRISMA 2020 guidelines, literature searches were conducted in PubMed, Scopus, Web of Science, and the NASA Technical Reports Server for studies published between 2010 and 2025. From 864 identified records, 72 studies met the inclusion criteria. The analysis revealed three main domains of innovation: AI-assisted diagnostic systems, autonomous telemedicine platforms, and wearable biosensing technologies integrated with advanced data analytics. These technologies demonstrate significant potential to strengthen digital health infrastructures, improve healthcare accessibility, and support resilient planetary healthcare systems capable of operating in extreme environments.
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Derechos de autor 2026 Marina CORRÊA FREITAS (Author)
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Los artículos publicados en el Journal of Biomedical & Space Sciences (JBSS) están licenciados bajo una Licencia Internacional Creative Commons Attribution 4.0 (CC BY 4.0). Los autores conservan los derechos de autor y otorgan a la revista el derecho de primera publicación. Los usuarios son libres de compartir y adaptar el material siempre que se le dé la atribución adecuada al autor original y a la fuente. ISSN: 3086-4712
