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Current Opinion in Critical Care
|
November 10, 2021
Advances in artificial intelligence and deep learning systems in ICU-related acute kidney injury
Tezcan Ozrazgat-Baslanti, Tyler J Loftus, Yuanfang Ren, et al.
Arxiv
|
March 22, 2023
Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate Analysis
Esra Adiyeke, Yuanfang Ren, Ziyuan Guan, et al.
Scientific Reports
|
October 18, 2023
Clinical courses of acute kidney injury in hospitalized patients: a multistate analysis
Esra Adiyeke, Yuanfang Ren, Ziyuan Guan, et al.
Critical Care Explorations
|
July 23, 2020
Improving the Intensive Care Patient Experience With Virtual Reality-A Feasibility Study
Triton L Ong, Matthew M Ruppert, Maisha Akbar, et al.
Surgery
|
January 13, 2021
Reinforcement learning in surgery
Shounak Datta, Yanjun Li, Matthew M Ruppert, et al.
F1000Research
|
September 19, 2022
The effect of non-pharmacologic strategies on prevention or management of intensive care unit delirium: a systematic review
Julie S Cupka, Haleh Hashemighouchani, Jessica Lipori, et al.
Journal of the American Medical Informatics Association : JAMIA
|
October 28, 2022
A framework for a consistent and reproducible evaluation of manual review for patient matching algorithms
Agrayan K Gupta, Suranga N Kasthurirathne, Huiping Xu, et al.
Critical Care Explorations
|
December 23, 2020
ICU Delirium-Prediction Models: A Systematic Review
Matthew M Ruppert, Jessica Lipori, Sandip Patel, et al.
The Journal of Surgical Research
|
June 13, 2020
Added Value of Intraoperative Data for Predicting Postoperative Complications: The MySurgeryRisk PostOp Extension
Shounak Datta, Tyler J Loftus, Matthew M Ruppert, et al.
Annals of Surgery
|
July 15, 2021
Aligning Patient Acuity With Resource Intensity After Major Surgery: A Scoping Review
Tyler J Loftus, Jeremy A Balch, Matthew M Ruppert, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 36) with videos related to
Sort By:
Page
of 4
Current Opinion in Critical Care
|
November 10, 2021
Advances in artificial intelligence and deep learning systems in ICU-related acute kidney injury
Tezcan Ozrazgat-Baslanti, Tyler J Loftus, Yuanfang Ren, et al.
Arxiv
|
March 22, 2023
Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate Analysis
Esra Adiyeke, Yuanfang Ren, Ziyuan Guan, et al.
Scientific Reports
|
October 18, 2023
Clinical courses of acute kidney injury in hospitalized patients: a multistate analysis
Esra Adiyeke, Yuanfang Ren, Ziyuan Guan, et al.
Critical Care Explorations
|
July 23, 2020
Improving the Intensive Care Patient Experience With Virtual Reality-A Feasibility Study
Triton L Ong, Matthew M Ruppert, Maisha Akbar, et al.
Surgery
|
January 13, 2021
Reinforcement learning in surgery
Shounak Datta, Yanjun Li, Matthew M Ruppert, et al.
F1000Research
|
September 19, 2022
The effect of non-pharmacologic strategies on prevention or management of intensive care unit delirium: a systematic review
Julie S Cupka, Haleh Hashemighouchani, Jessica Lipori, et al.
Journal of the American Medical Informatics Association : JAMIA
|
October 28, 2022
A framework for a consistent and reproducible evaluation of manual review for patient matching algorithms
Agrayan K Gupta, Suranga N Kasthurirathne, Huiping Xu, et al.
Critical Care Explorations
|
December 23, 2020
ICU Delirium-Prediction Models: A Systematic Review
Matthew M Ruppert, Jessica Lipori, Sandip Patel, et al.
The Journal of Surgical Research
|
June 13, 2020
Added Value of Intraoperative Data for Predicting Postoperative Complications: The MySurgeryRisk PostOp Extension
Shounak Datta, Tyler J Loftus, Matthew M Ruppert, et al.
Annals of Surgery
|
July 15, 2021
Aligning Patient Acuity With Resource Intensity After Major Surgery: A Scoping Review
Tyler J Loftus, Jeremy A Balch, Matthew M Ruppert, et al.
Page
of 4