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Artificial Intelligence in Intensive Care Medicine

Edited by José Luis García Garmendia - Intensive Care Unit. Critical Care and Emergency Department, Hospital San Juan de Dios del Aljarafe, Bormujos, Seville, Spain

Last update: March 2026

In recent years, artificial intelligence (AI) has spread across the world, rapidly changing it and affecting all levels of human activity. One of these areas is undoubtedly biomedical research. This is evident in the growing number of articles using AI tools to analyze reality and being published in biomedical journals. AI has also been incorporated throughout the article generation process, including the literature review, hypothesis generation, analysis method, and manuscript presentation and style correction. Journal managers and researchers must minimize the inherent risks of dishonest use of these technologies through ethical commitment on the part of researchers. However, transparency of use must be combined with clear rules and strict control, as well as consequences for fraudulent use. The dual nature of AI, which provides access to associations and processes that are unattainable to humans while also generating uncertain information, requires a commitment from everyone involved in scientific dissemination. In this special supplement, we have compiled original articles, editorials, and points of view published between January 1, 2024, and December 31, 2026, that use these techniques to leverage their analytical power.
Advanced data analysis and intensive care medicine
Federico Gordo Vidal, Natalia Gordo Herrera
Med Intensiva. 2024;48:1-2
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Online visualisation of the patient and the ultrasound image through augmented reality glasses. Does it offer any advantage in vascular cannulation?
Eduardo Villanueva Torreiro, Antonio Rodríguez-Núñez, Miguel A. Rodríguez-Vargas, Emilio Rodriguez-Ruiz
Med Intensiva. 2026;50:
Analysis of clinical experience with angiotensin II: A meta-analysis and 4 AI
Íñigo Isern-de-Val, Saray Antón Juarros, Marta Malingre Gajino, Héctor Mercado Castillo, Irene Orduna Casla, Raquel Lorenzo Álvarez, Lidia Serrano Martínez, Juan José Araiz Burdio
Med Intensiva. 2025;49:
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Artificial intelligence in intensive care medicine, the gradual revolution
Alejandro González-Castro
Med Intensiva. 2025;49:
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Intensivist should lead artificial intelligence implementation in the ICU
Juan-Jose Beunza
Med Intensiva. 2025;49:
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Current perspectives on the use of artificial intelligence in critical patient safety
Jesús Abelardo Barea Mendoza, Marcos Valiente Fernandez, Alex Pardo Fernandez, Josep Gómez Álvarez
Med Intensiva. 2025;49:154-64
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Application of a machine learning model for early prediction of in-hospital cardiac arrests: Retrospective observational cohort study
L. Socias Crespí, L. Gutiérrez Madroñal, M. Fiorella Sarubbo, M. Borges-Sa, A. Serrano García, D. López Ramos, C. Pruenza Garcia-Hinojosa, E. Martin Garijo
Med Intensiva. 2025;49:88-95
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New ultrasound techniques. Present and future
Fernando Clau Terré, Raul Vicho Pereira, Jose Maria Ayuela Azcárate, Manuel Ruiz Bailén
Med Intensiva. 2025;49:40-9
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Sepsis mortality prediction with Machine Learning Tecniques
Javier Carrillo Pérez-Tome, Tesifón Parrón-Carreño, Ana Belen Castaño-Fernández, Bruno José Nievas-Soriano, Gracia Castro-Luna
Med Intensiva. 2024;48:584-93
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The open data revolution: Enhancing healthcare in intensive care units
Sergio Muñoz-Lezcano, Carmen de la Fuente, Ángel Estella, Rosario Amaya-Villar, Antonio M. Puppo-Moreno, Miguel Ángel Armengol-de la Hoz, José Garnacho-Montero
Med Intensiva. 2024;48:421-3
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Prediction and simulation of PEEP setting effects with machine learning models
Claas Händel, Inéz Frerichs, Norbert Weiler, Björn Bergh
Med Intensiva. 2024;48:191-9
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New communication tool for basic life support training: smart glasses. A quasi-experimental study
Silvia Aranda-García, Martín Otero-Agra, Carlos Berlanga-Macías, Antonio Rodríguez-Núñez, Roberto Barcala-Furelos, Júlia Domingo, Adriana Seijas-Vijande, Felipe Fernández-Méndez
Med Intensiva. 2024;48:77-84
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Artificial intelligence and the Internet of Medical Things in the ICU: Time for implementation
Juan-Jose Beunza, Jose-Luis Lafuente, Samuel González, Vicente Gómez-Tello
Med Intensiva. 2024;48:56-8
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Predictors of mechanical ventilation and mortality in critically ill patients with COVID-19 pneumonia
Sergio Muñoz Lezcano, Miguel Ángel Armengol de la Hoz, Alberto Corbi, Fernando López, Miguel Sánchez García, Antonio Nuñez Reiz, Tomás Fariña González, Viktor Yordanov Zlatkov
Med Intensiva. 2024;48:3-13
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