Evidence map›Paper›PMID 35782886›Full record

ArticleIEEE internet of things journal2021

Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World.

Farshad Firouzi, Bahar Farahani, Mahmoud Daneshmand, Kathy Grise, Jaeseung Song, Roberto Saracco, Lucy Lu Wang, Kyle Lo, Plamen Angelov, Eduardo Soares and 21 more

Open access · hybridAbstract read
In one paragraph

Article in IEEE internet of things journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
14.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 130 citations in OpenAlex.

  1. Pooled it
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  16. Utility, barriers and facilitators to the use of connected health to support families impacted by paediatric cancer: a qualitative analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. Blockchain for COVID-19: a comprehensive review.Personal and ubiquitous computing · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

31 authors at 16 institutions in 5 countries.

Farshad FirouziElectrical and Computer Engineering DepartmentDuke University Durham NC 27708 USA.ORCID https://orcid.org/0000-0002-8359-4304
Bahar FarahaniCyberspace Research Institute, Shahid Beheshti University Tehran 1983969411 Iran.ORCID https://orcid.org/0000-0002-7016-6853
Mahmoud DaneshmandBusiness Intelligence and AnalyticsStevens Institute of Technology Hoboken NJ 07030 USA.
Kathy GriseIEEE Future Directions Piscataway NJ 08854 USA.ORCID https://orcid.org/0000-0001-5203-8316
Jaeseung SongDepartment of Computer and Information SecuritySejong University Seoul 15600 South Korea.ORCID https://orcid.org/0000-0002-2157-9651
Roberto SaraccoIEEE Future Directions Piscataway NJ 08854 USA.ORCID https://orcid.org/0000-0002-3869-8710
Lucy Lu WangAllen Institute for Artificial Intelligence Seattle WA 98112 USA.
Kyle LoAllen Institute for Artificial Intelligence Seattle WA 98112 USA.
Plamen AngelovSchool of Computing and CommunicationsLancaster University Lancashire LA1 4YW U.K.ORCID https://orcid.org/0000-0002-5770-934X
Eduardo SoaresSchool of Computing and CommunicationsLancaster University Lancashire LA1 4YW U.K.
Po-Shen LohDepartment of Mathematical SciencesCarnegie Mellon University Pittsburgh PA 15213 USA.
Zeynab TalebpourCyberspace Research Institute, Shahid Beheshti University Tehran 1983969411 Iran.
Reza MoradiCyberspace Research Institute, Shahid Beheshti University Tehran 1983969411 Iran.
Mohsen GoodarziCyberspace Research Institute, Shahid Beheshti University Tehran 1983969411 Iran.
Haleh AshrafSina Hospital Tehran Iran.
Mohammad TalebpourSina Hospital Tehran Iran.
Alireza TalebpourCyberspace Research Institute, Shahid Beheshti University Tehran 1983969411 Iran.
Luca RomeoDepartment of Information EngineeringUniversit Politecnica delle Marche 60121 Ancona Italy.ORCID https://orcid.org/0000-0003-1707-0147
Rupam DasJames Watt School of EngineeringUniversity of Glasgow Glasgow G12 8QQ U.K.ORCID https://orcid.org/0000-0001-7351-9928
Hadi HeidariJames Watt School of EngineeringUniversity of Glasgow Glasgow G12 8QQ U.K.ORCID https://orcid.org/0000-0001-8412-8164
Dana PasqualeSchool of Medicine and Duke HealthDuke University Durham NC 27708 USA.
James MoodySchool of Medicine and Duke HealthDuke University Durham NC 27708 USA.
Chris WoodsSchool of Medicine and Duke HealthDuke University Durham NC 27708 USA.
Erich S HuangSchool of Medicine and Duke HealthDuke University Durham NC 27708 USA.ORCID https://orcid.org/0000-0001-5547-9408
Payam BarnaghiDepartment of Brain SciencesImperial College London London SW7 2AZ U.K.ORCID https://orcid.org/0000-0001-8591-9638
Majid SarrafzadehComputer Science Department & Electrical and Computer Engineering DepartmentUniversity of California at Los Angeles Los Angeles CA 90095 USA.
Ron LiDepartment of MedicineStanford University School of Medicine Stanford CA 94305 USA.
Kristen L BeckAlmaden Research CenterIBM San Jose CA 95120 USA.ORCID https://orcid.org/0000-0002-4603-0235
Olexandr IsayevDepartment of ChemistryCarnegie Mellon University Pittsburgh PA 15213 USA.
Nakmyoung SungKorea Electronics Technology Institute Seongnam 13509 South Korea.
Alan LuoComputer Science DepartmentStanford University Stanford CA 94305 USA.
Duke University · USShahid Beheshti University · IRAllen Institute for Artificial Intelligence · USCarnegie Mellon University · USInstitute of Electrical and Electronics Engineers · USLancaster University · GBSina Hospital · IRStanford University · USUniversity of Glasgow · GBDementia UK · GBIBM Research - Almaden · USKorea Electronics Technology Institute · KRMarche Polytechnic University · ITSejong University · KRStevens Institute of Technology · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As COVID-19 hounds the world, the common cause of finding a swift solution to manage the pandemic has brought together researchers, institutions, governments, and society at large. The Internet of Things (IoT), artificial intelligence (AI)-including machine learning (ML) and Big Data analytics-as well as Robotics and Blockchain, are the four decisive areas of technological innovation that have been ingenuity harnessed to fight this pandemic and future ones. While these highly interrelated smart and connected health technologies cannot resolve the pandemic overnight and may not be the only answer to the crisis, they can provide greater insight into the disease and support frontline efforts to prevent and control the pandemic. This article provides a blend of discussions on the contribution of these digital technologies, propose several complementary and multidisciplinary techniques to combat COVID-19, offer opportunities for more holistic studies, and accelerate knowledge acquisition and scientific discoveries in pandemic research. First, four areas, where IoT can contribute are discussed, namely: 1) tracking and tracing; 2) remote patient monitoring (RPM) by wearable IoT (WIoT); 3) personal digital twins (PDTs); and 4) real-life use case: ICT/IoT solution in South Korea. Second, the role and novel applications of AI are explained, namely: 1) diagnosis and prognosis; 2) risk prediction; 3) vaccine and drug development; 4) research data set; 5) early warnings and alerts; 6) social control and fake news detection; and 7) communication and chatbot. Third, the main uses of robotics and drone technology are analyzed, including: 1) crowd surveillance; 2) public announcements; 3) screening and diagnosis; and 4) essential supply delivery. Finally, we discuss how distributed ledger technologies (DLTs), of which blockchain is a common example, can be combined with other technologies for tackling COVID-19.

Indexed as

Artificial intelligence (AI)big datablockchainCOVID-19digital twineHealthhealthcareInternet of Things (IoT)pandemicroboticswearable

Identifiers

PMID35782886
PMCPMC8769005
OpenAlexW3156033593

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.