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Shamim Nemati

Showing results (31-40 of 130) with videos related to

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Critical Care Explorations|April 2, 2026
Physician Gestalt Compared With Artificial Intelligence Model to Predict Intubation in Critically Ill PatientsMichael A Miller, Xiaolei Lu, Alex Pearce, et al.
Open Forum Infectious Diseases|April 13, 2026
Integrating Precision Sepsis Risk Stratification Into Systems-Based Antimicrobial StewardshipJames S Ford, Shamim Nemati, Ben Gross, et al.
Journal of the American Medical Informatics Association : JAMIA|September 20, 2024
Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission predictionVishal Nagarajan, Supreeth Prajwal Shashikumar, Atul Malhotra, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to ProductionFatemeh Amrollahi, Supreeth Prajwal Shashikumar, Pradeeban Kathiravelu, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 19, 2026
Temporal Recurrent Neural Networks for Predicting Acute Kidney Injury Recovery by Time of DischargeNathan M Tran, Zaid Yousif, Ambarish Athavale, et al.
Critical Care Clinics|September 13, 2023
Making the Improbable Possible: Generalizing Models Designed for a Syndrome-Based, Heterogeneous Patient LandscapeJoshua Pei Le, Supreeth Prajwal Shashikumar, Atul Malhotra, et al.
Medrxiv : the Preprint Server for Health Sciences|April 24, 2023
Development & Deployment of a Real-time Healthcare Predictive Analytics PlatformAaron Boussina, Supreeth Shashikumar, Fatemeh Amrollahi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Discovering shared dynamics in physiological signals: application to patient monitoring in ICULi-wei H Lehman, Shamim Nemati, Ryan P Adams, et al.
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.
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|October 31, 2025
Operationalizing Sepsis Definitions with Artificial Intelligence: Toward Smarter Antibiotic UseJames S Ford, Ben J Gross, Shamim Nemati, et al.
Pageof 13

Showing results (31-40 of 130) with videos related to

Sort By:
Pageof 13
Critical Care Explorations|April 2, 2026
Physician Gestalt Compared With Artificial Intelligence Model to Predict Intubation in Critically Ill PatientsMichael A Miller, Xiaolei Lu, Alex Pearce, et al.
Open Forum Infectious Diseases|April 13, 2026
Integrating Precision Sepsis Risk Stratification Into Systems-Based Antimicrobial StewardshipJames S Ford, Shamim Nemati, Ben Gross, et al.
Journal of the American Medical Informatics Association : JAMIA|September 20, 2024
Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission predictionVishal Nagarajan, Supreeth Prajwal Shashikumar, Atul Malhotra, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to ProductionFatemeh Amrollahi, Supreeth Prajwal Shashikumar, Pradeeban Kathiravelu, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 19, 2026
Temporal Recurrent Neural Networks for Predicting Acute Kidney Injury Recovery by Time of DischargeNathan M Tran, Zaid Yousif, Ambarish Athavale, et al.
Critical Care Clinics|September 13, 2023
Making the Improbable Possible: Generalizing Models Designed for a Syndrome-Based, Heterogeneous Patient LandscapeJoshua Pei Le, Supreeth Prajwal Shashikumar, Atul Malhotra, et al.
Medrxiv : the Preprint Server for Health Sciences|April 24, 2023
Development & Deployment of a Real-time Healthcare Predictive Analytics PlatformAaron Boussina, Supreeth Shashikumar, Fatemeh Amrollahi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Discovering shared dynamics in physiological signals: application to patient monitoring in ICULi-wei H Lehman, Shamim Nemati, Ryan P Adams, et al.
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.
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|October 31, 2025
Operationalizing Sepsis Definitions with Artificial Intelligence: Toward Smarter Antibiotic UseJames S Ford, Ben J Gross, Shamim Nemati, et al.
Pageof 13