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Online Clinical Calculator for Predicting 28-Day Mortality in Older Adult Patients With Sepsis-Associated Encephalopathy: Retrospective Study Using MIMIC-IV

Guangyong Jin, Menglu Zhou, Jiayi Chen, Mengyuan Diao, Wei Hu

JMIR Med Inform 2025;13:e76417

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Large Language Models in Critical Care Medicine: Scoping Review

Tongyue Shi, Jun Ma, Zihan Yu, Haowei Xu, Rongxin Yang, Minqi Xiong, Meirong Xiao, Yilin Li, Huiying Zhao, Guilan Kong

JMIR Med Inform 2025;13:e76326

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Developing a Core Outcome Set and a Core Outcome Measurement Set for Studies Evaluating Interventions to Minimize Physical Restraint Use in Adult Intensive Care Units: Protocol for a Modified Delphi Study

Ziad Alostaz, Wendy L Ellis, Sangeeta Mehta, Mohammed Aldalaykeh, Nasrin Alostaz, Raajpreet Sekhon, Abeer Omar, Craig Dale, Louise Rose

JMIR Res Protoc 2025;14:e76405

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

Roshini Raghu, Keivan Nalaie, Ivan Ayala, Juan Jose Morales Behaine, Juan Pablo Garcia-Mendez, Hannah Friesen, Kathleen Leistikow, Anirban Bhattacharyya, Arun Jayaraman, Pablo Moreno Franco, Alejandro Rabinstein, Linda L Chlan, Malaz Boustani, Vitaly Herasevich, Heidi Lindroth

JMIR Res Protoc 2025;14:e62912

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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”

Jose Manuel Ruiz Giardin, Óscar Garnica Alcázar

J Med Internet Res 2025;27:e82112

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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”

Aymen Boud, Ishraq Hussein

J Med Internet Res 2025;27:e81251

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The Moderating Effect of Atypical Events on the Relationship Between Heart Rate and Stress in Medical Residents Working in an Intensive Care Unit: Longitudinal, Observational Daily Diary Study

Ruibei Li, Ujjwal Pasupulety, Wellington Chang, Adam C Frank

JMIR Form Res 2025;9:e67822

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Predicting Episodes of Hypovigilance in Intensive Care Units Using Routine Physiological Parameters and Artificial Intelligence: Derivation Study

Raphaëlle Giguère, Victor Niaussat, Monia Noël-Hunter, William Witteman, Tanya S Paul, Alexandre Marois, Philippe Després, Simon Duchesne, Patrick M Archambault

JMIR AI 2025;4:e60885

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Barriers and Facilitators of the Use of Computerized Critical Care Information Systems in the Intensive Care Unit: Qualitative Interview Study

Alica Thissen, Eduardo Salgado-Baez, Daniel Fürstenau, Renate Delucchi Danhier, Christian Meske, Pauline Kuss, Stefan Angermair, Claudia Spies, Felix Balzer

J Med Internet Res 2025;27:e49254

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A Real-Time Signal-Based Wavelet Long Short-Term Memory Method for Length-of-Stay Prediction for the Intensive Care Unit: Development and Evaluation Study

Yiqun Jiang, Qing Li, Wenli Zhang

JMIR AI 2025;4:e71247

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