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

Letters to the Editor (84) Artificial Intelligence (2129) JMIR Theme Issue: COVID-19 Special Issue (2554) Machine Learning (2076) AI Applications in Public Health (30) 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) Theme Issue: Medical Informatics and COVID-19 (124)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81251, first published .
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”

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”

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:

Aymen Boud1 Author Orcid Image ;   Ishraq Hussein1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. 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