期刊论文详细信息
Frontiers in Public Health
Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era
Sonu Bhaskar7  Shawna Pandya8  Maciej Banach8  Daniel Ray8  Sateesh Sakhamuri8  Sebastian Moguilner8  Starr Schroeder8  Sian Bradley8  Vijay Kumar Chattu8 
[1] NHS Foundation Trust, Birmingham, United Kingdom;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;Alberta Health Services and Project PoSSUM, University of Alberta, Edmonton, AB, Canada;Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada;;Farr Institute of Health Informatics, University College London (UCL) &Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland;;Neurovascular Imaging Laboratory &Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia;Penn Medicine Lancaster General Hospital and Project PoSSUM, Lancaster, PA, United States;The University of New South Wales (UNSW) Medicine Sydney, South West Sydney Clinical School, Sydney, NSW, Australia;The University of the West Indies, St. Augustine, Trinidad and Tobago;
关键词: telehealth;    digital medicine;    pandemic (COVID-19);    robotics;    telemedicine;    artificial intelligence;   
DOI  :  10.3389/fpubh.2020.556789
来源: DOAJ
【 摘 要 】

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.

【 授权许可】

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