Intensive Care Unit (ICU)

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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Integrated Psychosocial Care in Intensive Care (IPS-Pilot): Protocol for the Systematic, Multimethod Development of a Complex Intervention (Phase A)

Sophie Felicitas Nickel, Simone Korger, Wencke Schindler, Heike Heytens, Gironimo Krieg, Karl-Philipp Drewitz, Katrin Schürmann, Leon Schössow, Julianna Gehrig, Marius Binneböse, Christian Hirning, Klaus Hönig, Rolf Konstantin Niessen, Julia Kirschbaum, Laurence Erdur, Sophie Peter, Florian Junne, Matthias Rose, Christian Apfelbacher, Harald Gündel

JMIR Res Protoc 2025 (Jun 06); 14:e65682

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Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study

Mingwei Zhang, Ming Zhong, Yunzhang Cheng, Tianyi Zhang

JMIR Med Inform 2025 (May 30); 13:e74940

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An Internet-Based and Mobile Family Management Intervention for Mothers of Very Preterm Infants Hospitalized in the Neonatal Intensive Care Unit (the Preemie Progress Program): Pilot Randomized Controlled Trial

Ashley Weber, Tamilyn Bakas, Qutaibah Oudat, Nehal A Parikh, Joshua Lambert, Heather L Tubbs-Cooley, Jared Rice, Kristin Voos, Matthew Rota, Heather C Kaplan

JMIR Form Res 2025 (May 21); 9:e66073

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Developing a Scalable Annotation Method for Large Datasets That Enhances Alarms With Actionability Data to Increase Informativeness: Mixed Methods Approach

Sophie Anne Inès Klopfenstein, Anne Rike Flint, Patrick Heeren, Mona Prendke, Amin Chaoui, Thomas Ocker, Jonas Chromik, Bert Arnrich, Felix Balzer, Akira-Sebastian Poncette

J Med Internet Res 2025 (May 05); 27:e65961

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Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study

Wei Jiang, Yaosheng Zhang, Jiayi Weng, Lin Song, Siqi Liu, Xianghui Li, Shiqi Xu, Keran Shi, Luanluan Li, Chuanqing Zhang, Jing Wang, Quan Yuan, Yongwei Zhang, Jun Shao, Jiangquan Yu, Ruiqiang Zheng

J Med Internet Res 2025 (Apr 28); 27:e62932

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Expectations of Intensive Care Physicians Regarding an AI-Based Decision Support System for Weaning From Continuous Renal Replacement Therapy: Predevelopment Survey Study

Benjamin Popoff, Sandie Cabon, Marc Cuggia, Guillaume Bouzillé, Thomas Clavier

JMIR Med Inform 2025 (Apr 23); 13:e63709

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Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study

Zhuo Zheng, Jiawei Luo, Yingchao Zhu, Lei Du, Lan Lan, Xiaobo Zhou, Xiaoyan Yang, Shixin Huang

J Med Internet Res 2025 (Apr 23); 27:e69293

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Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study

Mahmudur Rahman, Jifan Gao, Kyle A Carey, Dana P Edelson, Askar Afshar, John W Garrett, Guanhua Chen, Majid Afshar, Matthew M Churpek

JMIR AI 2025 (Apr 10); 4:e67144

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Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study

Chanmin Park, Changho Han, Su Kyeong Jang, Hyungjun Kim, Sora Kim, Byung Hee Kang, Kyoungwon Jung, Dukyong Yoon

J Med Internet Res 2025 (Apr 02); 27:e59520

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Personalized Physician-Assisted Sleep Advice for Shift Workers: Algorithm Development and Validation Study

Yufei Shen, Alicia Choto Olivier, Han Yu, Asami Ito-Masui, Ryota Sakamoto, Motomu Shimaoka, Akane Sano

JMIR Form Res 2025 (Apr 01); 9:e65000

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Clinicians’ Perceptions and Potential Applications of Robotics for Task Automation in Critical Care: Qualitative Study

Jiafeng Song, Rishika Iytha Sridhar, Darlene Marie Rogers, Cheryl Hiddleson, Carolyn Davis, Tina Lynn Holden, Shanna Ramsey-Haynes, Lisa Reif, Julie Swann, Craig S Jabaley, Mary Gullatte, Rishikesan Kamaleswaran

J Med Internet Res 2025 (Mar 28); 27:e62957

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User Experience of a Bespoke Videoconferencing System for Web-Based Family Visitation for Patients in an Intensive Care Unit: 1-Year Cross-Sectional Survey of Nursing Staff

Aoife Murray, Irial Conroy, Frank Kirrane, Leonie Cullen, Hemendra Worlikar, Derek T O'Keeffe

JMIR Hum Factors 2025 (Mar 21); 12:e54560

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Impact on Patient Outcomes of Continuous Vital Sign Monitoring on Medical Wards: Propensity-Matched Analysis

Bradley Rowland, Amit Saha, Vida Motamedi, Richa Bundy, Scott Winsor, Daniel McNavish, William Lippert, Ashish K Khanna

J Med Internet Res 2025 (Mar 11); 27:e66347

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Machine Learning–Based Prediction of Delirium and Risk Factor Identification in Intensive Care Unit Patients With Burns: Retrospective Observational Study

Ryo Esumi, Hiroki Funao, Eiji Kawamoto, Ryota Sakamoto, Asami Ito-Masui, Fumito Okuno, Toru Shinkai, Atsuya Hane, Kaoru Ikejiri, Yuichi Akama, Arong Gaowa, Eun Jeong Park, Ryo Momosaki, Ryuji Kaku, Motomu Shimaoka

JMIR Form Res 2025 (Mar 05); 9:e65190

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Kangaroo Stimulation Game in Tracheostomized Intensive Care–Related Dysphagia: Interventional Feasibility Study

Marjolein Jansen, Ingrid D van Iperen, Anke Kroner, Raphael Hemler, Esther Dekker-Holverda, Peter E Spronk

JMIR Serious Games 2025 (Mar 05); 13:e60685

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Validation of the Nociception Level Index for the Detection of Nociception and Pain in Critically Ill Adults: Protocol for an Observational Study

Céline Gélinas, Shiva Shahiri T, Han Ting Wang, Maria Cecilia Gallani, Walid Oulehri, Denny Laporta, Philippe Richebé

JMIR Res Protoc 2025 (Feb 28); 14:e60672

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Predicting Agitation-Sedation Levels in Intensive Care Unit Patients: Development of an Ensemble Model

Pei-Yu Dai, Pei-Yi Lin, Ruey-Kai Sheu, Shu-Fang Liu, Yu-Cheng Wu, Chieh-Liang Wu, Wei-Lin Chen, Chien-Chung Huang, Guan-Yin Lin, Lun-Chi Chen

JMIR Med Inform 2025 (Feb 26); 13:e63601

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