Real-time prediction of intensive care unit patient acuity and therapy requirements using state-space modelling

Real-time prediction of intensive care unit patient acuity and therapy requirements using state-space modelling

Abstract Intensive care unit (ICU) patients often experience rapid changes in clinical status, requiring timely identification of deterioration to guide life-sustaining interventions. Current artificial intelligence (AI) models for acuity assessment rely on mortality as a proxy and lack direct predi...

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Main Authors: Miguel Contreras, Brandon Silva, Benjamin Shickel, Andrea Davidson, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Ziyuan Guan, Jeremy Balch, Jiaqing Zhang, Sabyasachi Bandyopadhyay, Tyler Loftus, Kia Khezeli, Gloria Lipori, Jessica Sena, Subhash Nerella, Azra Bihorac, Parisa Rashidi
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-62121-1
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https://doi.org/10.1038/s41467-025-62121-1

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