Telemedicine System with Elements of Artificial Intelligence for Health Monitoring During COVID-19 Pandemic

Shinkariov, Sergei; Zingerman, Boris; Kargalskaya, Irina; Nozik, A. V.; Fistul, I. A.; Evelson, Lev I.; Kremenetskaya, Alexandra; Sun, Le; Xu, Jun; Kremenetskaya, O. S.; Shklovskiy-Kordi, Nikita E.

doi:10.1007/978-3-030-61951-0_10

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…It monitors different vital signs from devices in the patient’s room and allows patients to communicate with the doctors by sending messages. A similar technology [116] was developed in Russia for remote health monitoring of cancer patients. This system incorporates a subsystem to provide emergency situations based on the patients’ health statements and presents the necessary data to the doctors.…”

Section: Robotics and Ai Technologies In Covid-19 Healthcarementioning

confidence: 99%

Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review

Sarker

Jamal

Ahmed

et al. 2021

Robotics and Autonomous Systems

126

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The outbreak of the COVID-19 pandemic is unarguably the biggest catastrophe of the 21st century, probably the most significant global crisis after the second world war. The rapid spreading capability of the virus has compelled the world population to maintain strict preventive measures. The outrage of the virus has rampaged through the healthcare sector tremendously. This pandemic created a huge demand for necessary healthcare equipment, medicines along with the requirement for advanced robotics and artificial intelligence-based applications. The intelligent robot systems have great potential to render service in diagnosis, risk assessment, monitoring, telehealthcare, disinfection, and several other operations during this pandemic which has helped reduce the workload of the frontline workers remarkably. The long-awaited vaccine discovery of this deadly virus has also been greatly accelerated with AI-empowered tools. In addition to that, many robotics and Robotics Process Automation platforms have substantially facilitated the distribution of the vaccine in many arrangements pertaining to it. These forefront technologies have also aided in giving comfort to the people dealing with less addressed mental health complicacies. This paper investigates the use of robotics and artificial intelligence-based technologies and their applications in healthcare to fight against the COVID-19 pandemic. A systematic search following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method is conducted to accumulate such literature, and an extensive review on 147 selected records is performed.

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Section: Robotics and Ai Technologies In Covid-19 Healthcarementioning

confidence: 99%

Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review

Sarker

Jamal

Ahmed

et al. 2021

Robotics and Autonomous Systems

126

View full text Add to dashboard Cite

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“…After that the COVID-19 pandemic had been started some elements were added to detect cases with a big probability of the COVID-19 illness [4]. In particular, questions regarding the COVID-19 qualitative symptoms together with analysis of objective quantitative parameters (for example, body temperature) allow reveal such situations.…”

Section: Supplementation To the System During The Covid-19 Pandemicmentioning

confidence: 99%

Remote Health Monitoring During and After the COVID-19 Pandemic

Shklovskiy-Kordi

Evelson²,

Kargalskaya³

et al. 2021

Studies in Health Technology and Informatics

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High importance of the remote health monitoring (RHM) especially during and after the pandemic is accentuated in this article. It is displayed that by this way it is possible to revealing automatically situations “suspicious” from the COVID-19 illness view point for some concrete patients and also to keep up with possible complications after the illness. Another great opportunity of the RHM is connected with investigation of the vaccines. RHM allows reveal cases of the complications among the patients as well as positive and negative consequences of the vaccination. The general depersonalized data should be gathered and analyzed to research the regularities of the COVID-19 sickness rate and the complications frequency and also of the safety and effectiveness of the vaccines. It is proposed to combine advantages of RHM for medical care for concrete patients with opened opportunities for research to reveal important general normality connected with correlation between COVID-19 complications and peculiarities of various chronic diseases and specific medical statements. Telemedicine platform intended for creation of RHM systems is described. It has gone through the pilot running in Russian medical institutions and now presented good results have been achieved.

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