日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Bayesian Causal Inference Accounts for Multisensory Filling-In at the Blind Spot

贝叶斯因果推断解释了盲点处的多感官填充现象

Chan, Ailene Y C; Stiles, Noelle R B; Levitan, Carmel A; Wu, Daw-An; Tanguay, Armand R Jr; Shimojo, Shinsuke

Did you see the sound? A Bayesian Perspective on Crossmodal Perception in Low Vision

你听到声音了吗?低视力跨模态感知的贝叶斯视角

Chan, Ailene Y C; Stiles, Noelle R B; Levitan, Carmel A; Tanguay, Armand R Jr; Shimojo, Shinsuke

Super-relaxed myosins contribute to respiratory muscle hibernation in mechanically ventilated patients

肌球蛋白过度松弛会导致机械通气患者的呼吸肌进入休眠状态。

van den Berg, Marloes; Shi, Zhonghua; Claassen, Wout J; Hooijman, Pleuni; Lewis, Christopher T A; Andersen, Jesper L; van der Pijl, Robbert J; Bogaards, Sylvia J P; Conijn, Stefan; Peters, Eva L; Begthel, Leon P L; Uijterwijk, Bas; Lindqvist, Johan; Langlais, Paul R; Girbes, Armand R J; Stapel, Sandra; Granzier, Henk; Campbell, Kenneth S; Ma, Weikang; Irving, Thomas; Hwee, Darren T; Hartman, James J; Malik, Fady I; Paul, Marinus; Beishuizen, Albertus; Ochala, Julien; Heunks, Leo; Ottenheijm, Coen A C

Reinforcement learning for intensive care medicine: actionable clinical insights from novel approaches to reward shaping and off-policy model evaluation

强化学习在重症监护医学中的应用:来自奖励塑造和非策略模型评估的新方法的可操作临床见解

Roggeveen, Luca F; Hassouni, Ali El; de Grooth, Harm-Jan; Girbes, Armand R J; Hoogendoorn, Mark; Elbers, Paul W G

Early mobilisation in critically ill COVID-19 patients: a subanalysis of the ESICM-initiated UNITE-COVID observational study

早期活动对危重症 COVID-19 患者的影响:ESICM 发起的 UNITE-COVID 观察性研究的子分析

Kloss, Philipp; Lindholz, Maximilian; Milnik, Annette; Azoulay, Elie; Cecconi, Maurizio; Citerio, Giuseppe; De Corte, Thomas; Duska, Frantisek; Galarza, Laura; Greco, Massimiliano; Girbes, Armand R J; Kesecioglu, Jozef; Mellinghoff, Johannes; Ostermann, Marlies; Pellegrini, Mariangela; Teboul, Jean-Louis; De Waele, Jan; Wong, Adrian; Schaller, Stefan J

Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning Analysis

COVID-19 患者重症监护治疗期间临床表型的演变:一种无监督机器学习分析

Siepel, Sander; Dam, Tariq A; Fleuren, Lucas M; Girbes, Armand R J; Hoogendoorn, Mark; Thoral, Patrick J; Elbers, Paul W G; Bennis, Frank C

Correction to: Clinical and organizational factors associated with mortality during the peak of first COVID-19 wave: the global UNITE-COVID study

更正:与第一波 COVID-19 疫情高峰期死亡率相关的临床和组织因素:全球 UNITE-COVID 研究

Greco, Massimiliano; De Corte, Thomas; Ercole, Ari; Antonelli, Massimo; Azoulay, Elie; Citerio, Giuseppe; Morris, Andy Conway; De Pascale, Gennaro; Duska, Frantisek; Elbers, Paul; Einav, Sharon; Forni, Lui; Galarza, Laura; Girbes, Armand R J; Grasselli, Giacomo; Gusarov, Vitaly; Jubb, Alasdair; Kesecioglu, Jozef; Lavinio, Andrea; Delgado, Maria Cruz Martin; Mellinghoff, Johannes; Myatra, Sheila Nainan; Ostermann, Marlies; Pellegrini, Mariangela; Povoa, Pedro; Schaller, Stefan J; Teboul, Jean-Louis; Wong, Adrian; De Waele, Jan J; Cecconi, Maurizio

Clinical and organizational factors associated with mortality during the peak of first COVID-19 wave: the global UNITE-COVID study

临床和组织因素与第一波 COVID-19 疫情高峰期的死亡率相关:全球 UNITE-COVID 研究

Greco, Massimiliano; De Corte, Thomas; Ercole, Ari; Antonelli, Massimo; Azoulay, Elie; Citerio, Giuseppe; Morris, Andy Conway; De Pascale, Gennaro; Duska, Frantisek; Elbers, Paul; Einav, Sharon; Forni, Lui; Galarza, Laura; Girbes, Armand R J; Grasselli, Giacomo; Gusarov, Vitaly; Jubb, Alasdair; Kesecioglu, Jozef; Lavinio, Andrea; Delgado, Maria Cruz Martin; Mellinghoff, Johannes; Myatra, Sheila Nainan; Ostermann, Marlies; Pellegrini, Mariangela; Povoa, Pedro; Schaller, Stefan J; Teboul, Jean-Louis; Wong, Adrian; De Waele, Jan J; Cecconi, Maurizio

Lung- and Diaphragm-Protective Ventilation by Titrating Inspiratory Support to Diaphragm Effort: A Randomized Clinical Trial

通过根据膈肌用力调整吸气支持来实现肺和膈肌保护性通气:一项随机临床试验

de Vries, Heder J; Jonkman, Annemijn H; de Grooth, Harm J; Duitman, Jan Willem; Girbes, Armand R J; Ottenheijm, Coen A C; Schultz, Marcus J; van de Ven, Peter M; Zhang, Yingrui; de Man, Angelique M E; Tuinman, Pieter R; Heunks, Leo M A

Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning

利用机器学习预测新冠肺炎机械通气患者俯卧位治疗的反应

Dam, Tariq A; Roggeveen, Luca F; van Diggelen, Fuda; Fleuren, Lucas M; Jagesar, Ameet R; Otten, Martijn; de Vries, Heder J; Gommers, Diederik; Cremer, Olaf L; Bosman, Rob J; Rigter, Sander; Wils, Evert-Jan; Frenzel, Tim; Dongelmans, Dave A; de Jong, Remko; Peters, Marco A A; Kamps, Marlijn J A; Ramnarain, Dharmanand; Nowitzky, Ralph; Nooteboom, Fleur G C A; de Ruijter, Wouter; Urlings-Strop, Louise C; Smit, Ellen G M; Mehagnoul-Schipper, D Jannet; Dormans, Tom; de Jager, Cornelis P C; Hendriks, Stefaan H A; Achterberg, Sefanja; Oostdijk, Evelien; Reidinga, Auke C; Festen-Spanjer, Barbara; Brunnekreef, Gert B; Cornet, Alexander D; van den Tempel, Walter; Boelens, Age D; Koetsier, Peter; Lens, Judith; Faber, Harald J; Karakus, A; Entjes, Robert; de Jong, Paul; Rettig, Thijs C D; Arbous, Sesmu; Vonk, Sebastiaan J J; Machado, Tomas; Herter, Willem E; de Grooth, Harm-Jan; Thoral, Patrick J; Girbes, Armand R J; Hoogendoorn, Mark; Elbers, Paul W G