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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.
  • Bhaskar S; Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia.
  • Bradley S; 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.
  • Sakhamuri S; Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia.
  • Moguilner S; The University of New South Wales (UNSW) Medicine Sydney, South West Sydney Clinical School, Sydney, NSW, Australia.
  • Chattu VK; Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia.
  • Pandya S; The University of the West Indies, St. Augustine, Trinidad and Tobago.
  • Schroeder S; Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia.
  • Ray D; Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.
  • Banach M; Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia.
Front Public Health ; 8: 556789, 2020.
Article in English | MEDLINE | ID: covidwho-937487
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Front Public Health Year: 2020 Document Type: Article Affiliation country: Fpubh.2020.556789

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Front Public Health Year: 2020 Document Type: Article Affiliation country: Fpubh.2020.556789