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

Letters to the Editor (84) Artificial Intelligence (2129) AI Applications in Public Health (30) Machine Learning (2076) Theme Issue: Medical Informatics and COVID-19 (124) JMIR Theme Issue: COVID-19 Special Issue (2554) Longitudinal and Cohort Studies in Public Health (411) Collateral Damage of the Pandemic: Excess deaths due to disruptions in healthcare and lockdowns (18) Intensive Care Unit (ICU) (160) Early Results from COVID-19 Studies (363)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82112, first published .
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”

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”

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”

Authors of this article:

Jose Manuel Ruiz Giardin1, 2 Author Orcid Image ;   Óscar Garnica Alcázar3 Author Orcid Image
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Jose Manuel Ruiz Giardin   1, 2 * , MD, PhD ;   Óscar Garnica Alcázar   3 * , PhD

1 Medicina Interna-Infecciosas, Hospital Universitario de Fuenlabrada, Fuenlabrada, Spain

2 CIBERINFEC, Madrid, Spain

3 Departamento de Arquitectura de Computadores y Automática, Facultad de Informática, Universidad Complutense de Madrid, Madrid, Spain

*all authors contributed equally

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