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

RCTs - Protocols/Proposals (eHealth) (694) Development and Evaluation of Research Methods, Instruments and Tools (776) Intensive Care Unit (ICU) (162) Dementia and Cognitive Decline (718) Clinical Information and Decision Making (2007) Machine Learning (2173)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62912, first published .
Harnessing the Power of Technology to Transform Delirium Severity Measurement in the Intensive Care Unit: Protocol for a Prospective Cohort Study

Harnessing the Power of Technology to Transform Delirium Severity Measurement in the Intensive Care Unit: Protocol for a Prospective Cohort Study

Harnessing the Power of Technology to Transform Delirium Severity Measurement in the Intensive Care Unit: Protocol for a Prospective Cohort Study

Authors of this article:

Roshini Raghu1 Author Orcid Image ;   Keivan Nalaie1, 2 Author Orcid Image ;   Ivan Ayala1 Author Orcid Image ;   Juan Jose Morales Behaine3, 4 Author Orcid Image ;   Juan Pablo Garcia-Mendez2 Author Orcid Image ;   Hannah Friesen1 Author Orcid Image ;   Kathleen Leistikow1 ;   Anirban Bhattacharyya5 Author Orcid Image ;   Arun Jayaraman3, 4 Author Orcid Image ;   Pablo Moreno Franco5, 6 Author Orcid Image ;   Alejandro Rabinstein7 Author Orcid Image ;   Linda L Chlan1 Author Orcid Image ;   Malaz Boustani8, 9 Author Orcid Image ;   Vitaly Herasevich2 Author Orcid Image ;   Heidi Lindroth1, 8, 9 Author Orcid Image
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Journals

  1. Magouliotis D, Sicouri N, Ramlawi L, Baudo M, Androutsopoulou V, Sicouri S. Artificial Intelligence in Adult Cardiovascular Medicine and Surgery: Real-World Deployments and Outcomes. Journal of Personalized Medicine 2026;16(2):69 View