This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2388) Artificial Intelligence (1186) Internet of Things (70) Telehealth and Telemonitoring (1556) Machine Learning (1370) Secondary Use of Clinical Data for Research and Surveillance (317) Infectious Diseases (non-STD/STI) (1478) Outbreak and Pandemic Preparedness and Management (1673) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19104, first published .
Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review

Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review

Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review

Authors of this article:

Aya Sedky Adly1 Author Orcid Image ;   Afnan Sedky Adly2, 3 Author Orcid Image ;   Mahmoud Sedky Adly4, 5 Author Orcid Image
Article Authors Cited by (96) Tweetations (21) Metrics

Aya Sedky Adly   1 , MSc, PhD ;   Afnan Sedky Adly   2, 3 , MSc ;   Mahmoud Sedky Adly   4, 5 , DDS, MSc, HDD

1 Faculty of Computers and Artificial Intelligence, Helwan University, Cairo, Egypt

2 Faculty of Physical Therapy, Cardiovascular-Respiratory Disorders and Geriatrics, Laser Applications in Physical Medicine, Cairo University, Cairo, Egypt

3 Faculty of Physical Therapy, Internal Medicine, Beni-Suef University, Beni-Suef, Egypt

4 Faculty of Oral and Dental Medicine, Cairo University, Cairo, Egypt

5 Royal College of Surgeons of Edinburgh, Scotland, United Kingdom

Corresponding Author: