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Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era
Technological innovations such as artificial intelligence and robotics may be of potential use in telemedicine and in building capacity to respond to future pandemics beyond the current COVID-19 era. Our international consortium of interdisciplinary experts in clinical medicine, health policy, and t...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7667043/ https://www.ncbi.nlm.nih.gov/pubmed/33224912 http://dx.doi.org/10.3389/fpubh.2020.556789 |
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author | Bhaskar, Sonu Bradley, Sian Sakhamuri, Sateesh Moguilner, Sebastian Chattu, Vijay Kumar Pandya, Shawna Schroeder, Starr Ray, Daniel Banach, Maciej |
author_facet | Bhaskar, Sonu Bradley, Sian Sakhamuri, Sateesh Moguilner, Sebastian Chattu, Vijay Kumar Pandya, Shawna Schroeder, Starr Ray, Daniel Banach, Maciej |
author_sort | Bhaskar, Sonu |
collection | PubMed |
description | Technological innovations such as artificial intelligence and robotics may be of potential use in telemedicine and in building capacity to respond to future pandemics beyond the current COVID-19 era. Our international consortium of interdisciplinary experts in clinical medicine, health policy, and telemedicine have identified gaps in uptake and implementation of telemedicine or telehealth across geographics and medical specialties. This paper discusses various artificial intelligence and robotics-assisted telemedicine or telehealth applications during COVID-19 and presents an alternative artificial intelligence assisted telemedicine framework to accelerate the rapid deployment of telemedicine and improve access to quality and cost-effective healthcare. We postulate that the artificial intelligence assisted telemedicine framework would be indispensable in creating futuristic and resilient health systems that can support communities amidst pandemics. |
format | Online Article Text |
id | pubmed-7667043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76670432020-11-20 Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era Bhaskar, Sonu Bradley, Sian Sakhamuri, Sateesh Moguilner, Sebastian Chattu, Vijay Kumar Pandya, Shawna Schroeder, Starr Ray, Daniel Banach, Maciej Front Public Health Public Health Technological innovations such as artificial intelligence and robotics may be of potential use in telemedicine and in building capacity to respond to future pandemics beyond the current COVID-19 era. Our international consortium of interdisciplinary experts in clinical medicine, health policy, and telemedicine have identified gaps in uptake and implementation of telemedicine or telehealth across geographics and medical specialties. This paper discusses various artificial intelligence and robotics-assisted telemedicine or telehealth applications during COVID-19 and presents an alternative artificial intelligence assisted telemedicine framework to accelerate the rapid deployment of telemedicine and improve access to quality and cost-effective healthcare. We postulate that the artificial intelligence assisted telemedicine framework would be indispensable in creating futuristic and resilient health systems that can support communities amidst pandemics. Frontiers Media S.A. 2020-11-02 /pmc/articles/PMC7667043/ /pubmed/33224912 http://dx.doi.org/10.3389/fpubh.2020.556789 Text en Copyright © 2020 Bhaskar, Bradley, Sakhamuri, Moguilner, Chattu, Pandya, Schroeder, Ray and Banach. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Bhaskar, Sonu Bradley, Sian Sakhamuri, Sateesh Moguilner, Sebastian Chattu, Vijay Kumar Pandya, Shawna Schroeder, Starr Ray, Daniel Banach, Maciej Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era |
title | Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era |
title_full | Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era |
title_fullStr | Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era |
title_full_unstemmed | Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era |
title_short | Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era |
title_sort | designing futuristic telemedicine using artificial intelligence and robotics in the covid-19 era |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7667043/ https://www.ncbi.nlm.nih.gov/pubmed/33224912 http://dx.doi.org/10.3389/fpubh.2020.556789 |
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