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

Artificial Intelligence (4847) Longitudinal and Cohort Studies in Public Health (927) Machine Learning (3230) Intensive Care Unit (ICU) (191) JMIR Theme Issue: COVID-19 Special Issue (4235) Theme Issue: Medical Informatics and COVID-19 (173) Early Results from COVID-19 Studies (459) Collateral Damage of the Pandemic: Excess deaths due to disruptions in healthcare and lockdowns (21) AI Applications in Public Health (105)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70674, first published .
Hospital room with patient bed, vital signs monitor, and wheelchair.

AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients

AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients

Authors of this article:

Jose Manuel Ruiz Giardin1, 2 Author Orcid Image ;   Óscar Garnica3 Author Orcid Image ;   Nieves Mesa Plaza4 Author Orcid Image ;   Juan Víctor SanMartín López1, 2 Author Orcid Image ;   Ana Farfán Sedano4 Author Orcid Image ;   Elena Madroñal Cerezo4 Author Orcid Image ;   Miguel Ángel Duarte Millán4 Author Orcid Image ;   Aida Izquierdo Martínez4 Author Orcid Image ;   Luis Rivas4 Author Orcid Image ;   Marta Rivilla4 Author Orcid Image ;   Alejandro Morales Ortega4 Author Orcid Image ;   Begoña Frutos Pérez4 Author Orcid Image ;   Cristina De Ancos Aracil4 Author Orcid Image ;   Ruth Calderón1 Author Orcid Image ;   Guillermo Soria Fernandez1 Author Orcid Image ;   Jorge Marrero Francés4 Author Orcid Image ;   David Bernal Bello4 Author Orcid Image ;   Jose Ángel Satué Bartolomé4 Author Orcid Image ;   María Toledano Macías4 Author Orcid Image ;   Sara Piedrabuena García4 Author Orcid Image ;   Marta Guerrero Santillán4 Author Orcid Image ;   Rafael Cristóbal4 Author Orcid Image ;   Belen Mora4 Author Orcid Image ;   Laura Velázquez Ríos4 Author Orcid Image ;   Vanesa García de Viedma4 Author Orcid Image ;   Paula Cuenca Ruiz1 Author Orcid Image ;   Ibone Ayala Larrañaga4 Author Orcid Image ;   Lorena Carpintero1 Author Orcid Image ;   Celia Lara4 Author Orcid Image ;   Alvaro Ricardo Llerena4 Author Orcid Image ;   Virginia García Bermúdez4 Author Orcid Image ;   Gema Delgado Cárdenas5 Author Orcid Image ;   Paloma Pardo Rovira5 Author Orcid Image ;   Elena Tejero Sánchez5 Author Orcid Image ;   Maria Jesús Domínguez García5 Author Orcid Image ;   Carolina Mariño6 Author Orcid Image ;   Cristina Bravo6 Author Orcid Image ;   Ana Ontañon6 Author Orcid Image ;   Mario García6 Author Orcid Image ;   Jose Ignacio Hidalgo Pérez3 Author Orcid Image ;   Santiago Prieto Menchero7 Author Orcid Image ;   Natalia González Pereira7 Author Orcid Image ;   Sonia Gonzalo Pascua4 Author Orcid Image ;   Jorge Tarancón Rey8 Author Orcid Image ;   Luis Antonio Lechuga Suárez8 Author Orcid Image ;   FUENCOVID9
Article Authors Cited by (5) Tweetations (3) Metrics Author Video

Journals

  1. Boud A, Hussein I. Significant Risks and Responsibilities in the Clinical Use of AI Predictive Models. Comment on: “AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients”. Journal of Medical Internet Research 2025;27:e81251 View
  2. Ruiz Giardin J, Garnica Alcázar Ó. Authors’ Reply to: Significant Risks and Responsibilities in the Clinical Use of AI Predictive Models. Comment on: “AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients”. Journal of Medical Internet Research 2025;27:e82112 View
  3. Singh N. Smart ICUs: The Role of Artificial Intelligence in Modern Intensive Care Units. Cureus 2026 View
  4. Jafari Z, Zamanifar A, Farhadi A. TA-RNN-Medical-Hybrid: A Time-Aware and Interpretable Framework for Mortality Risk Prediction. IEEE Access 2026;14:108804 View
  5. Khan M, Wasi S, Siddiqui M, Ahmed G, Mughal M, Iftikhar M. Evidence-Guided Multimodal Risk Prediction Framework for Severe COVID-19 Outcomes Using EHR and CT Imaging for COVID-19 Clinical Decision Support. Bioengineering 2026;13(8):929 View