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

Non-randomized Protocols and Methods (ehealth) (567) JMIR Theme Issue: COVID-19 Special Issue (2452) Clinical Information and Decision Making (1407) Artificial Intelligence (1371)

Published on in Vol 11, No 10 (2022): October

This is a member publication of IDIAP Jordi Gol

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37704, first published .
An Artificial Intelligence–Driven Digital Health Solution to Support Clinical Management of Patients With Long COVID-19: Protocol for a Prospective Multicenter Observational Study

An Artificial Intelligence–Driven Digital Health Solution to Support Clinical Management of Patients With Long COVID-19: Protocol for a Prospective Multicenter Observational Study

An Artificial Intelligence–Driven Digital Health Solution to Support Clinical Management of Patients With Long COVID-19: Protocol for a Prospective Multicenter Observational Study

Authors of this article:

Aïna Fuster-Casanovas1 Author Orcid Image ;   Luis Fernandez-Luque2 Author Orcid Image ;   Francisco J Nuñez-Benjumea3 Author Orcid Image ;   Alberto Moreno Conde3 Author Orcid Image ;   Luis G Luque-Romero4 Author Orcid Image ;   Ioannis Bilionis2 Author Orcid Image ;   Cristina Rubio Escudero5 Author Orcid Image ;   Irene Alice Chicchi Giglioli2 Author Orcid Image ;   Josep Vidal-Alaball1, 6, 7 Author Orcid Image
Article Authors Cited by (1) Tweetations (17) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually