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

Non-randomized Protocols and Methods (ehealth) (592) JMIR Theme Issue: COVID-19 Special Issue (2479) Clinical Information and Decision Making (1559) Artificial Intelligence (1619)

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 (2) Tweetations (16) Metrics

Journals

  1. León-Herrera S, Oliván-Blázquez B, Sánchez-Recio R, Méndez-López F, Magallón-Botaya R, Sánchez-Arizcuren R. Effectiveness of an online multimodal rehabilitation program in long COVID patients: a randomized clinical trial. Archives of Public Health 2024;82(1) View
  2. Hernández-Hernández L, Obeso-Benítez P, Serrada-Tejeda S, Sánchez-Herrera-Baeza P, Rodríguez-Pérez M, Pérez-de-Heredia-Torres M, Martínez-Piédrola R, Martín-Hernández J. Use of wearables to measure the effects of long COVID on activities of daily living and their relationship to perceived exertion, occupational performance, and quality of life. Frontiers in Public Health 2025;13 View