Intensive Care Unit (ICU)

Articles published in 2025 in this theme: 46 (scroll down to load remaining articles)

2025

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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 (Nov 24); 13:e76326

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Association of Modifiable Lifestyle and Metabolic Factors With the Risk of Developing Sepsis: 2-Sample Mendelian Randomized Study

Haifeng Lv, Jing Liu, Yelin Cao, Weina Fan, Guojie Shen, Feifei Wang, Qingqing Ye, Xiaoliang Wu, Kaijin Xu

Interact J Med Res 2025 (Nov 03); 14:e72244

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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 (Nov 03); 14:e76405

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Effects, Feasibility, and Safety of an Early Mobilization Protocol With Immersive Virtual Reality for Dyspnea in Patients With Acutely Decompensated Heart Failure: The MOVE Randomized Clinical Trial

Iasmin Borges Fraga, Larissa Gussatschenko Caballero, Carlos Eduardo Maciel Tremea, Janaína dos Santos Prates, Gabrielle Perin, Vitor Alves Guedes, Pedro Dal Lago, Eneida Rejane Rabelo-Silva

JMIR Form Res 2025 (Oct 31); 9:e80729

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Aggregating Patient Safety and Status Information in the Electronic Health Record to Support Time-Sensitive Mobility Interventions in the Intensive Care Unit: Protocol for the Design and Testing of a Clinical Decision Support Tool

Anna Krupp, Heather Dunn, Lindsey Knake, Patrick Ten Eyck, Laura Frey-Law, Karen Dunn Lopez

JMIR Res Protoc 2025 (Oct 16); 14:e75752

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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 (Sep 25); 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 (Sep 11); 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 (Sep 11); 27:e81251

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Investigating Information Visualization to Combat Information Overload in Electronic Health Records: Protocol for a Randomized Controlled Trial

Saif Khairat, Jennifer Morelli, Marcella H Boynton, Thomas Bice, Jeffrey A Gold, Shannon S Carson

JMIR Res Protoc 2025 (Sep 09); 14:e74247

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AI Model Based on Diaphragm Ultrasound to Improve the Predictive Performance of Invasive Mechanical Ventilation Weaning: Prospective Cohort Study

Feier Song, Huazhang Liu, Huan Ma, Xuanhui Chen, Shouhong Wang, Tiehe Qin, Huiying Liang, Daozheng Huang

JMIR Form Res 2025 (Sep 08); 9:e72482

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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 (Aug 27); 4:e60885

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Intensive Care Unit Patient Outcome Prediction Using ν-Support Vector Classification and Stochastic Signal Processing–Based Feature Extraction Techniques: Algorithm Development and Validation Study

Shaodong Wang, Yiqun Jiang, Qing Li, Wenli Zhang

JMIR AI 2025 (Aug 26); 4:e72671

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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 (Aug 22); 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 (Aug 20); 4:e71247

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Post–Critical Illness Dysphagia in the Intensive Care Unit (the Dysphagia-ICU Study): Protocol for a Prospective Cohort Study

Waleed Alhazzani, Kimberley Lewis, Jamala Selan, Haifa F Alotaibi, Sara Alnasser, Afaf Alrwais, Atheer Alhomoud, Rawabi M Alsayer, Hani Tamim

JMIR Res Protoc 2025 (Aug 14); 14:e68053

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Predicting In-Hospital Mortality in Intensive Care Unit Patients Using Causal SurvivalNet With Serum Chloride and Other Causal Factors: Cross-Country Study

Jing Wang, Qixiu Li, Can Xie, Xiaofei Li, Huikao Wang, Wei Xu, Ruyan Lv, Xiaobing Zhai, Ping Xu, Kefeng Li, Xi-Cheng Song

J Med Internet Res 2025 (Jul 24); 27:e70118

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Epidemiology and Impact of Staff Training in Controlling Complications Related to Central Venous Catheters in 4 Intensive Care Units in a French University Hospital: Protocol of a Prospective, Quasi-Experimental, Before-After Study

Nagham Khanafer, Anne-Claire Lukaszewicz, Elisabetta Kuczewski, Laurent Argaud, Philippe Vanhems

JMIR Res Protoc 2025 (Jul 23); 14:e74985

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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, Nieves Mesa Plaza, Juan Víctor SanMartín López, Ana Farfán Sedano, Elena Madroñal Cerezo, Miguel Ángel Duarte Millán, Aida Izquierdo Martínez, Luis Rivas, Marta Rivilla, Alejandro Morales Ortega, Begoña Frutos Pérez, Cristina De Ancos Aracil, Ruth Calderón, Guillermo Soria Fernandez, Jorge Marrero Francés, David Bernal Bello, Jose Ángel Satué Bartolomé, María Toledano Macías, Sara Piedrabuena García, Marta Guerrero Santillán, Rafael Cristóbal, Belen Mora, Laura Velázquez Ríos, Vanesa García de Viedma, Paula Cuenca Ruiz, Ibone Ayala Larrañaga, Lorena Carpintero, Celia Lara, Alvaro Ricardo Llerena, Virginia García Bermúdez, Gema Delgado Cárdenas, Paloma Pardo Rovira, Elena Tejero Sánchez, Maria Jesús Domínguez García, Carolina Mariño, Cristina Bravo, Ana Ontañon, Mario García, Jose Ignacio Hidalgo Pérez, Santiago Prieto Menchero, Natalia González Pereira, Sonia Gonzalo Pascua, Jorge Tarancón Rey, Luis Antonio Lechuga Suárez, FUENCOVID

J Med Internet Res 2025 (Jul 10); 27:e70674

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Development of a Machine Learning–Based Predictive Model for Postoperative Delirium in Older Adult Intensive Care Unit Patients: Retrospective Study

Houfeng Li, Qinglai Zang, Qi Li, Yanchen Lin, Jintao Duan, Jing Huang, Huixiu Hu, Ying Zhang, Dengyun Xia, Miao Zhou

J Med Internet Res 2025 (Jun 19); 27:e67258

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Development of a Serious Game to Simulate Neonatal Intensive Care Unit Experiences: Collaborative Quasi-Experimental Study

Yukihide Miyosawa, Koichi Hirabayashi, Kodai Yamada, Fumiya Kobayashi, Nanami Ogihara, Noa Takeda, Eri Okamura, Shogo Matsumura

JMIR Form Res 2025 (Jun 18); 9:e73009

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