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

Early Results from COVID-19 Studies (299) Non-randomized Protocols and Methods (ehealth) (567) JMIR Theme Issue: COVID-19 Special Issue (2452) Artificial Intelligence (1371) Clinical Information and Decision Making (1407) Wearable Devices and Sensors (888)

Published on in Vol 6, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36933, first published .
Risk Assessment of COVID-19 Cases in Emergency Departments and Clinics With the Use of Real-World Data and Artificial Intelligence: Observational Study

Risk Assessment of COVID-19 Cases in Emergency Departments and Clinics With the Use of Real-World Data and Artificial Intelligence: Observational Study

Risk Assessment of COVID-19 Cases in Emergency Departments and Clinics With the Use of Real-World Data and Artificial Intelligence: Observational Study

Authors of this article:

Evangelos Logaras1 Author Orcid Image ;   Antonis Billis1 Author Orcid Image ;   Ilias Kyparissidis Kokkinidis1 Author Orcid Image ;   Smaranda Nafsika Ketseridou1 Author Orcid Image ;   Alexios Fourlis2 Author Orcid Image ;   Aristotelis Tzotzis3 Author Orcid Image ;   Konstantinos Imprialos3 Author Orcid Image ;   Michael Doumas3 Author Orcid Image ;   Panagiotis Bamidis1 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Evangelos Logaras   1 , MSc ;   Antonis Billis   1 , PhD ;   Ilias Kyparissidis Kokkinidis   1 , MSc ;   Smaranda Nafsika Ketseridou   1 , MSc ;   Alexios Fourlis   2 , MSc ;   Aristotelis Tzotzis   3 , MD ;   Konstantinos Imprialos   3 , MD ;   Michael Doumas   3 , MD, PhD ;   Panagiotis Bamidis   1 , PhD

1 Laboratory of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece

2 Department of Research and Development, Vidavo S.A., Thessaloniki, Greece

3 2nd Propaedeutic Department of Internal Medicine, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece

Corresponding Author:

  • Antonis Billis, PhD
  • Laboratory of Medical Physics and Digital Innovation
  • School of Medicine
  • Aristotle University of Thessaloniki
  • University Campus, Building D, Gate 8
  • Thessaloniki, 54124
  • Greece
  • Phone: 30 2310999237
  • Email: ampillis@med.auth.gr