Literature DB >> 35782886

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

Farshad Firouzi1, Bahar Farahani2, Mahmoud Daneshmand3, Kathy Grise4, Jaeseung Song5, Roberto Saracco4, Lucy Lu Wang6, Kyle Lo6, Plamen Angelov7, Eduardo Soares7, Po-Shen Loh8, Zeynab Talebpour2, Reza Moradi2, Mohsen Goodarzi2, Haleh Ashraf9, Mohammad Talebpour9, Alireza Talebpour2, Luca Romeo10, Rupam Das11, Hadi Heidari11, Dana Pasquale12, James Moody12, Chris Woods12, Erich S Huang12, Payam Barnaghi13,14, Majid Sarrafzadeh15, Ron Li16, Kristen L Beck17, Olexandr Isayev18, Nakmyoung Sung19, Alan Luo20.   

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.

Entities:  

Keywords:  Artificial intelligence (AI); COVID-19; Internet of Things (IoT); big data; blockchain; digital twin; eHealth; healthcare; pandemic; robotics; wearable

Year:  2021        PMID: 35782886      PMCID: PMC8769005          DOI: 10.1109/JIOT.2021.3073904

Source DB:  PubMed          Journal:  IEEE Internet Things J        ISSN: 2327-4662            Impact factor:   10.238


  36 in total

1.  Covid-19: a remote assessment in primary care.

Authors:  Trisha Greenhalgh; Gerald Choon Huat Koh; Josip Car
Journal:  BMJ       Date:  2020-03-25

2.  Keep up with the latest coronavirus research.

Authors:  Qingyu Chen; Alexis Allot; Zhiyong Lu
Journal:  Nature       Date:  2020-03       Impact factor: 49.962

3.  Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach.

Authors:  Michele Bernardini; Micaela Morettini; Luca Romeo; Emanuele Frontoni; Laura Burattini
Journal:  Artif Intell Med       Date:  2020-05-06       Impact factor: 5.326

4.  AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app.

Authors:  Ali Imran; Iryna Posokhova; Haneya N Qureshi; Usama Masood; Muhammad Sajid Riaz; Kamran Ali; Charles N John; Md Iftikhar Hussain; Muhammad Nabeel
Journal:  Inform Med Unlocked       Date:  2020-06-26

Review 5.  Wearable sensors for monitoring the physiological and biochemical profile of the athlete.

Authors:  Dhruv R Seshadri; Ryan T Li; James E Voos; James R Rowbottom; Celeste M Alfes; Christian A Zorman; Colin K Drummond
Journal:  NPJ Digit Med       Date:  2019-07-22

6.  Mechano-acoustic sensing of physiological processes and body motions via a soft wireless device placed at the suprasternal notch.

Authors:  KunHyuck Lee; Xiaoyue Ni; Jong Yoon Lee; Hany Arafa; David J Pe; Shuai Xu; Raudel Avila; Masahiro Irie; Joo Hee Lee; Ryder L Easterlin; Dong Hyun Kim; Ha Uk Chung; Omolara O Olabisi; Selam Getaneh; Esther Chung; Marc Hill; Jeremy Bell; Hokyung Jang; Claire Liu; Jun Bin Park; Jungwoo Kim; Sung Bong Kim; Sunita Mehta; Matt Pharr; Andreas Tzavelis; Jonathan T Reeder; Ivy Huang; Yujun Deng; Zhaoqian Xie; Charles R Davies; Yonggang Huang; John A Rogers
Journal:  Nat Biomed Eng       Date:  2019-11-25       Impact factor: 25.671

7.  Accuracy of the Apple Watch 4 to Measure Heart Rate in Patients With Atrial Fibrillation.

Authors:  Dhruv R Seshadri; Barb Bittel; Dalton Browsky; Penny Houghtaling; Colin K Drummond; Milind Desai; A Marc Gillinov
Journal:  IEEE J Transl Eng Health Med       Date:  2019-12-13       Impact factor: 3.316

8.  Non-Invasive Continuous Blood-Pressure Monitoring Models Based on Photoplethysmography and Electrocardiography.

Authors:  Haiyan Wu; Zhong Ji; Mengze Li
Journal:  Sensors (Basel)       Date:  2019-12-15       Impact factor: 3.576

Review 9.  Cardiovascular Considerations for Patients, Health Care Workers, and Health Systems During the COVID-19 Pandemic.

Authors:  Elissa Driggin; Mahesh V Madhavan; Behnood Bikdeli; Taylor Chuich; Justin Laracy; Giuseppe Biondi-Zoccai; Tyler S Brown; Caroline Der Nigoghossian; David A Zidar; Jennifer Haythe; Daniel Brodie; Joshua A Beckman; Ajay J Kirtane; Gregg W Stone; Harlan M Krumholz; Sahil A Parikh
Journal:  J Am Coll Cardiol       Date:  2020-03-19       Impact factor: 24.094

Review 10.  Continuous on-body sensing for the COVID-19 pandemic: Gaps and opportunities.

Authors:  Hyoyoung Jeong; John A Rogers; Shuai Xu
Journal:  Sci Adv       Date:  2020-09-02       Impact factor: 14.136

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  3 in total

1.  Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control.

Authors:  Munish Bhatia; Ankush Manocha; Tariq Ahamed Ahanger; Abdullah Alqahtani
Journal:  Artif Intell Med       Date:  2022-03-26       Impact factor: 7.011

2.  Detection of COVID-19 using deep learning techniques and classification methods.

Authors:  Çinare Oğuz; Mete Yağanoğlu
Journal:  Inf Process Manag       Date:  2022-07-08       Impact factor: 7.466

3.  Automated artificial intelligence-enabled proactive preparedness real-time system for accurate prediction of COVID-19 infections- Performance evaluation.

Authors:  Leila Ismail; Huned Materwala; Yousef Al Hammadi; Farshad Firouzi; Gulfaraz Khan; Saaidal Razalli Bin Azzuhri
Journal:  Front Med (Lausanne)       Date:  2022-08-30
  3 in total

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