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Gabriel Wardi

Showing results (41-50 of 95) with videos related to

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Critical Care Medicine|April 26, 2023
Bringing the Promise of Artificial Intelligence to Critical Care: What the Experience With Sepsis Analytics Can Teach UsGabriel Wardi, Robert Owens, Christopher Josef, et al.
Annals of Emergency Medicine|September 3, 2019
Demystifying Lactate in the Emergency DepartmentGabriel Wardi, Jessica Brice, Matthew Correia, et al.
Informatics in Medicine Unlocked|June 7, 2021
Decision support tool for hospital resource allocation during the COVID-19 pandemicSven Brüggemann, Theodore Chan, Gabriel Wardi, et al.
Annals of Emergency Medicine|January 18, 2021
Predicting Progression to Septic Shock in the Emergency Department Using an Externally Generalizable Machine-Learning AlgorithmGabriel Wardi, Morgan Carlile, Andre Holder, et al.
Critical Care Medicine|July 14, 2021
A Locally Optimized Data-Driven Tool to Predict Sepsis-Associated Vasopressor Use in the ICUAndre L Holder, Supreeth P Shashikumar, Gabriel Wardi, et al.
Medrxiv : the Preprint Server for Health Sciences|November 11, 2020
Predicting progression to septic shock in the emergency department using an externally generalizable machine learning algorithmGabriel Wardi, Morgan Carlile, Andre Holder, et al.
Journal of Medical Internet Research|June 23, 2023
Representation Learning and Spectral Clustering for the Development and External Validation of Dynamic Sepsis Phenotypes: Observational Cohort StudyAaron Boussina, Gabriel Wardi, Supreeth Prajwal Shashikumar, et al.
Joint Commission Journal on Quality and Patient Safety|January 17, 2021
The Impact of an Inpatient Nurse-Triggered Sepsis Alert on Antimicrobial UtilizationMinji Kang, Francesca J Torriani, Rebecca E Sell, et al.
Journal of the American Medical Directors Association|March 14, 2023
Passing the SNF Test: A Secondary Analysis of a Sepsis Transition Intervention Trial Among Patients Discharged to Post-Acute CareNicholas A Colucciello, Marc A Kowalkowski, Maria Kooken, et al.
JMIR Perioperative Medicine|January 27, 2023
Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence-Based Tools in Critical Care: Web-Based Survey StudyEric Mlodzinski, Gabriel Wardi, Clare Viglione, et al.
Pageof 10

Showing results (41-50 of 95) with videos related to

Sort By:
Pageof 10
Critical Care Medicine|April 26, 2023
Bringing the Promise of Artificial Intelligence to Critical Care: What the Experience With Sepsis Analytics Can Teach UsGabriel Wardi, Robert Owens, Christopher Josef, et al.
Annals of Emergency Medicine|September 3, 2019
Demystifying Lactate in the Emergency DepartmentGabriel Wardi, Jessica Brice, Matthew Correia, et al.
Informatics in Medicine Unlocked|June 7, 2021
Decision support tool for hospital resource allocation during the COVID-19 pandemicSven Brüggemann, Theodore Chan, Gabriel Wardi, et al.
Annals of Emergency Medicine|January 18, 2021
Predicting Progression to Septic Shock in the Emergency Department Using an Externally Generalizable Machine-Learning AlgorithmGabriel Wardi, Morgan Carlile, Andre Holder, et al.
Critical Care Medicine|July 14, 2021
A Locally Optimized Data-Driven Tool to Predict Sepsis-Associated Vasopressor Use in the ICUAndre L Holder, Supreeth P Shashikumar, Gabriel Wardi, et al.
Medrxiv : the Preprint Server for Health Sciences|November 11, 2020
Predicting progression to septic shock in the emergency department using an externally generalizable machine learning algorithmGabriel Wardi, Morgan Carlile, Andre Holder, et al.
Journal of Medical Internet Research|June 23, 2023
Representation Learning and Spectral Clustering for the Development and External Validation of Dynamic Sepsis Phenotypes: Observational Cohort StudyAaron Boussina, Gabriel Wardi, Supreeth Prajwal Shashikumar, et al.
Joint Commission Journal on Quality and Patient Safety|January 17, 2021
The Impact of an Inpatient Nurse-Triggered Sepsis Alert on Antimicrobial UtilizationMinji Kang, Francesca J Torriani, Rebecca E Sell, et al.
Journal of the American Medical Directors Association|March 14, 2023
Passing the SNF Test: A Secondary Analysis of a Sepsis Transition Intervention Trial Among Patients Discharged to Post-Acute CareNicholas A Colucciello, Marc A Kowalkowski, Maria Kooken, et al.
JMIR Perioperative Medicine|January 27, 2023
Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence-Based Tools in Critical Care: Web-Based Survey StudyEric Mlodzinski, Gabriel Wardi, Clare Viglione, et al.
Pageof 10