Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era

Sonu Bhaskar; Sonu Bhaskar; Sian Bradley; Sian Bradley; Sateesh Sakhamuri; Sateesh Sakhamuri; Sebastian Moguilner; Sebastian Moguilner; Vijay Kumar Chattu; Vijay Kumar Chattu; Shawna Pandya; Shawna Pandya; Starr Schroeder; Starr Schroeder; Daniel Ray; Daniel Ray; Maciej Banach; Maciej Banach; Maciej Banach

doi:10.3389/fpubh.2020.556789

Frontiers in Public Health (Nov 2020)

Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era

Sonu Bhaskar,
Sonu Bhaskar,
Sian Bradley,
Sian Bradley,
Sateesh Sakhamuri,
Sateesh Sakhamuri,
Sebastian Moguilner,
Sebastian Moguilner,
Vijay Kumar Chattu,
Vijay Kumar Chattu,
Shawna Pandya,
Shawna Pandya,
Starr Schroeder,
Starr Schroeder,
Daniel Ray,
Daniel Ray,
Maciej Banach,
Maciej Banach,
Maciej Banach

Affiliations

Sonu Bhaskar: Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
Sonu Bhaskar: Neurovascular Imaging Laboratory & NSW Brain Clot Bank, Department of Neurology, Liverpool Hospital and South Western Sydney Local Health District, Ingham Institute for Applied Medical Research, The University of New South Wales, Sydney, NSW, Australia
Sian Bradley: Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
Sian Bradley: The University of New South Wales (UNSW) Medicine Sydney, South West Sydney Clinical School, Sydney, NSW, Australia
Sateesh Sakhamuri: Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
Sateesh Sakhamuri: The University of the West Indies, St. Augustine, Trinidad and Tobago
Sebastian Moguilner: Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
Sebastian Moguilner: Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
Vijay Kumar Chattu: Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
Vijay Kumar Chattu: Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
Shawna Pandya: Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
Shawna Pandya: Alberta Health Services and Project PoSSUM, University of Alberta, Edmonton, AB, Canada
Starr Schroeder: Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
Starr Schroeder: Penn Medicine Lancaster General Hospital and Project PoSSUM, Lancaster, PA, United States
Daniel Ray: Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
Daniel Ray: Farr Institute of Health Informatics, University College London (UCL) & NHS Foundation Trust, Birmingham, United Kingdom
Maciej Banach: Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
Maciej Banach: 0Polish Mother's Memorial Hospital Research Institute (PMMHRI) in Lodz, Cardiovascular Research Centre, University of Zielona Gora, Zielona Gora, Poland
Maciej Banach: 1Department of Hypertension, Medical University of Lodz, Łódź, Poland

DOI: https://doi.org/10.3389/fpubh.2020.556789
Journal volume & issue: Vol. 8

Abstract

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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.

Published in Frontiers in Public Health

ISSN: 2296-2565 (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Public aspects of medicine
Website: https://www.frontiersin.org/journals/public-health

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