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Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives
Recent interest in medical artificial intelligence (AI) has increased with onset of the fourth industrial revolution. Real-time monitoring of patients is an important research area of medical AI. The medical AI is very closely related to the Internet of Things (IoT), a core element of the fourth ind...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Spinal Neurosurgery Society
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6944984/ https://www.ncbi.nlm.nih.gov/pubmed/31905461 http://dx.doi.org/10.14245/ns.1938388.194 |
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author | Nam, Kyoung Hyup Kim, Dong Hwan Choi, Byung Kwan Han, In Ho |
author_facet | Nam, Kyoung Hyup Kim, Dong Hwan Choi, Byung Kwan Han, In Ho |
author_sort | Nam, Kyoung Hyup |
collection | PubMed |
description | Recent interest in medical artificial intelligence (AI) has increased with onset of the fourth industrial revolution. Real-time monitoring of patients is an important research area of medical AI. The medical AI is very closely related to the Internet of Things (IoT), a core element of the fourth industrial revolution. Attempts to diagnose and treat patients using IoT have been already applied to patients with chronic disease such as hypertension and arrhythmia. However, in the spine, research on IoT and digital biomarkers are still in the early stages. The digital biomarker obtained by IoT devices is objective and could represent real-time, real-world, and abundant data. Based on its characteristics, IoT and digital biomarkers can also be useful in the spine. Currently, research on real-time monitoring of physical activity or spinal posture is ongoing. Therefore, the authors introduce the basic concepts of IoT and digital biomarkers, their relationship to AI, and recent trends. Current and future perspectives of IoT and digital biomarker in spine are also discussed. In the future, it is expected that IoT, digital biomarkers, and AI will lead to a paradigm shift in the diagnosis and treatment of spinal diseases. |
format | Online Article Text |
id | pubmed-6944984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Korean Spinal Neurosurgery Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-69449842020-01-14 Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives Nam, Kyoung Hyup Kim, Dong Hwan Choi, Byung Kwan Han, In Ho Neurospine Review Article Recent interest in medical artificial intelligence (AI) has increased with onset of the fourth industrial revolution. Real-time monitoring of patients is an important research area of medical AI. The medical AI is very closely related to the Internet of Things (IoT), a core element of the fourth industrial revolution. Attempts to diagnose and treat patients using IoT have been already applied to patients with chronic disease such as hypertension and arrhythmia. However, in the spine, research on IoT and digital biomarkers are still in the early stages. The digital biomarker obtained by IoT devices is objective and could represent real-time, real-world, and abundant data. Based on its characteristics, IoT and digital biomarkers can also be useful in the spine. Currently, research on real-time monitoring of physical activity or spinal posture is ongoing. Therefore, the authors introduce the basic concepts of IoT and digital biomarkers, their relationship to AI, and recent trends. Current and future perspectives of IoT and digital biomarker in spine are also discussed. In the future, it is expected that IoT, digital biomarkers, and AI will lead to a paradigm shift in the diagnosis and treatment of spinal diseases. Korean Spinal Neurosurgery Society 2019-12 2019-12-31 /pmc/articles/PMC6944984/ /pubmed/31905461 http://dx.doi.org/10.14245/ns.1938388.194 Text en Copyright © 2019 by the Korean Spinal Neurosurgery Society This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Nam, Kyoung Hyup Kim, Dong Hwan Choi, Byung Kwan Han, In Ho Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives |
title | Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives |
title_full | Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives |
title_fullStr | Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives |
title_full_unstemmed | Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives |
title_short | Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives |
title_sort | internet of things, digital biomarker, and artificial intelligence in spine: current and future perspectives |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6944984/ https://www.ncbi.nlm.nih.gov/pubmed/31905461 http://dx.doi.org/10.14245/ns.1938388.194 |
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