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Artificial intelligence (AI) in critical care

Edited by:

Leo Anthony Celi, MD, MPH, MSc, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Department of Biostatistics, Harvard T.H. Chan School of Public Health, United States

Judy Wawira Gichoya, MD, MS, Winship Cancer Institute of Emory University, United States

Submission Status: Open   |  Submission Deadline: 15 July 2025


Critical Care is calling for submissions to our Collection on Artificial intelligence (AI) in critical care. This special collection seeks to advance the application of AI in critical care by focusing on discovery of data issues in electronic health records that will have profound consequences on downstream prediction, classification, and optimization. 

Image credit: © [M] Toowongsa / Stock.adobe.com

About the Collection

Critical Care is calling for submissions to our Collection on Artificial intelligence (AI) in critical care. This special collection seeks to advance the application of AI in critical care by focusing on discovery of data issues in electronic health records that will have profound consequences on downstream prediction, classification, and optimization. More importantly, it will explore how these data issues may be addressed so they do not lead to AI that cements biases in clinical decision-making. The promise of AI will translate into huge dividends only if the intensive care community works with computer scientists, social scientists, patients, and their caregivers in understanding the backstories of the data and designing an equity-focused curation and analytics pipeline.


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    Content type: Research Published on:

  4. Integrating artificial intelligence (AI) into intensive care practices can enhance patient care by providing real-time predictions and aiding clinical decisions. However, biases in AI models can undermine dive...

    Authors: Mia Gisselbaek, Mélanie Suppan, Laurens Minsart, Ekin Köselerli, Sheila Nainan Myatra, Idit Matot, Odmara L. Barreto Chang, Sarah Saxena and Joana Berger-Estilita
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  6. Automated analysis of lung computed tomography (CT) scans may help characterize subphenotypes of acute respiratory illness. We integrated lung CT features measured via deep learning with clinical and laborator...

    Authors: Emanuele Rezoagli, Yi Xin, Davide Signori, Wenli Sun, Sarah Gerard, Kevin L. Delucchi, Aurora Magliocca, Giovanni Vitale, Matteo Giacomini, Linda Mussoni, Jonathan Montomoli, Matteo Subert, Alessandra Ponti, Savino Spadaro, Giancarla Poli, Francesco Casola…
    Citation: Critical Care 2024 28:263
    Content type: Research Published on:

Submission Guidelines

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This Collection welcomes submission of research and review articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. 

Articles for this Collection should be submitted via our submission system, Snapp. Please, select the appropriate Collection title “Artificial intelligence (AI) in critical care" under the “Details” tab during the submission stage.

Articles will undergo the journal’s standard peer-review process and are subject to all the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer-review process. The peer-review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.