Intensive Care Unit (ICU)

Temperature Measurement Timings and the Fever Detection Rate After Gastrointestinal Surgery: Retrospective Cross-Sectional Study

Shiqi Wang, Gang Ji, Xiangying Feng, Luguang Huang, Jialin Luo, Pengfei Yu, Jiyang Zheng, Bin Yang, Xiangjie Wang, Qingchuan Zhao

Interact J Med Res 2024 (Oct 09); 13:e50585

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Long-Term Post–COVID-19 Health and Psychosocial Effects and Coping Resources Among Survivors of Severe and Critical COVID-19 in Central and Eastern Europe: Protocol for an International Qualitative Study

Anna Alexandrova-Karamanova, Anita Lauri Korajlija, Peter Halama, Adriana Baban

JMIR Res Protoc 2024 (Sep 30); 13:e57596

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Enhancing Patient Selection in Sepsis Clinical Trials Design Through an AI Enrichment Strategy: Algorithm Development and Validation

Meicheng Yang, Jinqiang Zhuang, Wenhan Hu, Jianqing Li, Yu Wang, Zhongheng Zhang, Chengyu Liu, Hui Chen

J Med Internet Res 2024 (Sep 04); 26:e54621

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Immersive Virtual Reality Use in Medical Intensive Care: Mixed Methods Feasibility Study

Brian W Locke, Te-yi Tsai, C Mahony Reategui-Rivera, Aileen S Gabriel, Aref Smiley, Joseph Finkelstein

JMIR Serious Games 2024 (Aug 09); 12:e62842

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Human-AI Teaming in Critical Care: A Comparative Analysis of Data Scientists’ and Clinicians’ Perspectives on AI Augmentation and Automation

Nadine Bienefeld, Emanuela Keller, Gudela Grote

J Med Internet Res 2024 (Jul 22); 26:e50130

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Effect of Digital Early Warning Scores on Hospital Vital Sign Observation Protocol Adherence: Stepped-Wedge Evaluation

David Chi-Wai Wong, Timothy Bonnici, Stephen Gerry, Jacqueline Birks, Peter J Watkinson

J Med Internet Res 2024 (Jun 20); 26:e46691

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Ad Hoc Modifications to a High Dependency Psychiatric Unit for People With Dementia During the COVID-19 Period

Thanita Pilunthanakul, Giles Ming Yee Tan

Interact J Med Res 2024 (Jun 11); 13:e49618

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Advances in the Application of AI Robots in Critical Care: Scoping Review

Yun Li, Min Wang, Lu Wang, Yuan Cao, Yuyan Liu, Yan Zhao, Rui Yuan, Mengmeng Yang, Siqian Lu, Zhichao Sun, Feihu Zhou, Zhirong Qian, Hongjun Kang

J Med Internet Res 2024 (May 27); 26:e54095

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Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study

Mingxia Li, Shuzhe Han, Fang Liang, Chenghuan Hu, Buyao Zhang, Qinlan Hou, Shuangping Zhao

J Med Internet Res 2024 (May 01); 26:e51354

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Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study

Yuhe Ke, Rui Yang, Nan Liu

J Med Internet Res 2024 (Apr 17); 26:e48330

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The Challenges in Using eHealth Decision Resources for Surrogate Decision-Making in the Intensive Care Unit

Wan-Na Sun, Chi-Yin Kao

J Med Internet Res 2024 (Apr 01); 26:e47017

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Sentiment Analysis of Patient- and Family-Related Sepsis Events: Exploratory Study

Mabel Ntiamoah, Teenu Xavier, Joshua Lambert

JMIR Nursing 2024 (Apr 01); 7:e51720

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A Deep Learning–Based Approach for Prediction of Vancomycin Treatment Monitoring: Retrospective Study Among Patients With Critical Illness

Dohyun Kim, Hyun-Soo Choi, DongHoon Lee, Minkyu Kim, Yoon Kim, Seon-Sook Han, Yeonjeong Heo, Ju-Hee Park, Jinkyeong Park

JMIR Form Res 2024 (Mar 08); 8:e45202

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The Effect of Body Temperature Changes on the Course of Treatment in Patients With Pneumonia and Sepsis: Results of an Observational Study

Domen Guzelj, Anže Grubelnik, Nina Greif, Petra Povalej Bržan, Jure Fluher, Žiga Kalamar, Andrej Markota

Interact J Med Res 2024 (Mar 01); 13:e52590

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A Novel Continuous Real-Time Vital Signs Viewer for Intensive Care Units: Design and Evaluation Study

Shiming Yang, Samuel Galvagno, Neeraj Badjatia, Deborah Stein, William Teeter, Thomas Scalea, Stacy Shackelford, Raymond Fang, Catriona Miller, Peter Hu, VS viewer study group

JMIR Hum Factors 2024 (Jan 05); 11:e46030

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Design and Evaluation of an Intensive Care Unit Dashboard Built in Response to the COVID-19 Pandemic: Semistructured Interview Study

Marceli Wac, Ian Craddock, Sofia Chantziara, Tabitha Campbell, Raul Santos-Rodriguez, Brittany Davidson, Chris McWilliams

JMIR Hum Factors 2023 (Sep 26); 10:e49438

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Real-Time Prediction of Sepsis in Critical Trauma Patients: Machine Learning–Based Modeling Study

Jiang Li, Fengchan Xi, Wenkui Yu, Chuanrui Sun, Xiling Wang

JMIR Form Res 2023 (Mar 31); 7:e42452

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Improving Communication in Intensive Care Unit to Ward Transitions: Protocol for Multisite National Implementation of the ICU-PAUSE Handoff Tool

Elle Mizuki Fukui, Patrick G Lyons, Emily Harris, Emma K McCune, Juan C Rojas, Lekshmi Santhosh

JMIR Res Protoc 2023 (Feb 06); 12:e40918

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Intensive Care Unit Physicians’ Perspectives on Artificial Intelligence–Based Clinical Decision Support Tools: Preimplementation Survey Study

Siri L van der Meijden, Anne A H de Hond, Patrick J Thoral, Ewout W Steyerberg, Ilse M J Kant, Giovanni Cinà, M Sesmu Arbous

JMIR Hum Factors 2023 (Jan 05); 10:e39114

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Artificial Intelligence in Intensive Care Medicine: Bibliometric Analysis

Ri Tang, Shuyi Zhang, Chenling Ding, Mingli Zhu, Yuan Gao

J Med Internet Res 2022 (Nov 30); 24(11):e42185

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