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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...

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Autores principales: Nam, Kyoung Hyup, Kim, Dong Hwan, Choi, Byung Kwan, Han, In Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Spinal Neurosurgery Society 2019
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.
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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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