Literature DB >> 31076048

Intensive Care Unit Telemedicine in the Era of Big Data, Artificial Intelligence, and Computer Clinical Decision Support Systems.

Ryan D Kindle1, Omar Badawi2, Leo Anthony Celi3, Shawn Sturland4.   

Abstract

This article examines the history of the telemedicine intensive care unit (tele-ICU), the current state of clinical decision support systems (CDSS) in the tele-ICU, applications of machine learning (ML) algorithms to critical care, and opportunities to integrate ML with tele-ICU CDSS. The enormous quantities of data generated by tele-ICU systems is a major driver in the development of the large, comprehensive, heterogeneous, and granular data sets necessary to develop generalizable ML CDSS algorithms, and deidentification of these data sets expands opportunities for ML CDSS research.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinical decision support systems; ICU; Machine learning; Telemedicine

Mesh:

Year:  2019        PMID: 31076048     DOI: 10.1016/j.ccc.2019.02.005

Source DB:  PubMed          Journal:  Crit Care Clin        ISSN: 0749-0704            Impact factor:   3.598


  6 in total

Review 1.  Machine Learning and Artificial Intelligence in Neurocritical Care: a Specialty-Wide Disruptive Transformation or a Strategy for Success.

Authors:  Fawaz Al-Mufti; Michael Kim; Vincent Dodson; Tolga Sursal; Christian Bowers; Chad Cole; Corey Scurlock; Christian Becker; Chirag Gandhi; Stephan A Mayer
Journal:  Curr Neurol Neurosci Rep       Date:  2019-11-13       Impact factor: 5.081

Review 2.  A Research Agenda for Diagnostic Excellence in Critical Care Medicine.

Authors:  Christina L Cifra; Jason W Custer; James C Fackler
Journal:  Crit Care Clin       Date:  2022-01       Impact factor: 3.598

3.  Guiding Efficient, Effective, and Patient-Oriented Electrolyte Replacement in Critical Care: An Artificial Intelligence Reinforcement Learning Approach.

Authors:  Niranjani Prasad; Aishwarya Mandyam; Corey Chivers; Michael Draugelis; C William Hanson; Barbara E Engelhardt; Krzysztof Laudanski
Journal:  J Pers Med       Date:  2022-04-20

4.  Artificial intelligence-based prediction of transfusion in the intensive care unit in patients with gastrointestinal bleeding.

Authors:  Riccardo Levi; Francesco Carli; Aldo Robles Arévalo; Yuksel Altinel; Daniel J Stein; Matteo Maria Naldini; Federica Grassi; Andrea Zanoni; Stan Finkelstein; Susana M Vieira; João Sousa; Riccardo Barbieri; Leo Anthony Celi
Journal:  BMJ Health Care Inform       Date:  2021-01

5.  Identification of Signature Genes and Characterizations of Tumor Immune Microenvironment and Tumor Purity in Lung Adenocarcinoma Based on Machine Learning.

Authors:  Haiming Feng; Ye Zhao; Weijian Yan; Xiaoping Wei; Junping Lin; Peng Jiang; Cheng Wang; Bin Li
Journal:  Front Med (Lausanne)       Date:  2022-02-25

6.  Evidence-based Clinical Decision Support Systems for the prediction and detection of three disease states in critical care: A systematic literature review.

Authors:  Goran Medic; Melodi Kosaner Kließ; Louis Atallah; Jochen Weichert; Saswat Panda; Maarten Postma; Amer El-Kerdi
Journal:  F1000Res       Date:  2019-10-08
  6 in total

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