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Gabriel Wardi

Showing results (61-70 of 95) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable DataFatemeh Amrollahi, Supreeth Prajwal Shashikumar, Aaron Boussina, et al.
The Western Journal of Emergency Medicine|June 6, 2023
Disparities Exist in the Application of Low Tidal-volume Ventilation in the Emergency DepartmentMichael Self, Brent Kennis, Andrew Lafree, et al.
Resuscitation Plus|January 11, 2024
The etiology and outcomes of cardiopulmonary resuscitation in patients who are on V-V ECMO, a letter to the editorMazen Odish, Erin Roberts, Travis Pollema, et al.
Journal of Addiction Medicine|February 29, 2024
Temporal Trends in Methamphetamine Use in Patients Admitted to the Hospital: A Retrospective Cohort StudyDaniel J Suto, Jessica Xiao, Amy L Bellinghausen, et al.
Critical Care Explorations|September 11, 2024
Development and Validation of a Deep Learning Model for Prediction of Adult Physiological DeteriorationSupreeth P Shashikumar, Joshua Pei Le, Nathan Yung, et al.
The Journal of Emergency Medicine|March 9, 2024
Emergency Department Take-Home Naloxone Improves Access Compared with Pharmacy-Dispensed NaloxoneJeremy Hardin, Justin Seltzer, Henrik Galust, et al.
Medrxiv : the Preprint Server for Health Sciences|February 6, 2026
Achieving Expert-Level Clinical Infection Detection with LLMs from Clinical Documents: Validation in Complex Patient Cases with CirrhosisYufei Yu, James Ford, Eileen Kim, et al.
Research Square|April 16, 2025
Mortality and Antibiotic Timing in Deep Learning-Derived Surviving Sepsis Campaign Risk Groups: A Multicenter StudyBen J Gross, Allison Donahue, James S Ford, et al.
Annals of Internal Medicine|February 17, 2025
The Effect of Severe Sepsis and Septic Shock Management Bundle (SEP-1) Compliance and Implementation on Mortality Among Patients With Sepsis : A Systematic ReviewJames S Ford, Joseph C Morrison, May Kyaw, et al.
Critical Care (London, England)|July 14, 2025
Mortality and antibiotic timing in deep learning-derived surviving sepsis campaign risk groups: a multicenter studyBen J Gross, Allison Donahue, James S Ford, et al.
Pageof 10

Showing results (61-70 of 95) with videos related to

Sort By:
Pageof 10
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable DataFatemeh Amrollahi, Supreeth Prajwal Shashikumar, Aaron Boussina, et al.
The Western Journal of Emergency Medicine|June 6, 2023
Disparities Exist in the Application of Low Tidal-volume Ventilation in the Emergency DepartmentMichael Self, Brent Kennis, Andrew Lafree, et al.
Resuscitation Plus|January 11, 2024
The etiology and outcomes of cardiopulmonary resuscitation in patients who are on V-V ECMO, a letter to the editorMazen Odish, Erin Roberts, Travis Pollema, et al.
Journal of Addiction Medicine|February 29, 2024
Temporal Trends in Methamphetamine Use in Patients Admitted to the Hospital: A Retrospective Cohort StudyDaniel J Suto, Jessica Xiao, Amy L Bellinghausen, et al.
Critical Care Explorations|September 11, 2024
Development and Validation of a Deep Learning Model for Prediction of Adult Physiological DeteriorationSupreeth P Shashikumar, Joshua Pei Le, Nathan Yung, et al.
The Journal of Emergency Medicine|March 9, 2024
Emergency Department Take-Home Naloxone Improves Access Compared with Pharmacy-Dispensed NaloxoneJeremy Hardin, Justin Seltzer, Henrik Galust, et al.
Medrxiv : the Preprint Server for Health Sciences|February 6, 2026
Achieving Expert-Level Clinical Infection Detection with LLMs from Clinical Documents: Validation in Complex Patient Cases with CirrhosisYufei Yu, James Ford, Eileen Kim, et al.
Research Square|April 16, 2025
Mortality and Antibiotic Timing in Deep Learning-Derived Surviving Sepsis Campaign Risk Groups: A Multicenter StudyBen J Gross, Allison Donahue, James S Ford, et al.
Annals of Internal Medicine|February 17, 2025
The Effect of Severe Sepsis and Septic Shock Management Bundle (SEP-1) Compliance and Implementation on Mortality Among Patients With Sepsis : A Systematic ReviewJames S Ford, Joseph C Morrison, May Kyaw, et al.
Critical Care (London, England)|July 14, 2025
Mortality and antibiotic timing in deep learning-derived surviving sepsis campaign risk groups: a multicenter studyBen J Gross, Allison Donahue, James S Ford, et al.
Pageof 10