Literature DB >> 32204716

Artificial Intelligence in the Intensive Care Unit.

Guillermo Gutierrez1.   

Abstract

This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency Medicine 2020. Other selected articles can be found online at https://www.biomedcentral.com/collections/annualupdate2020. Further information about the Annual Update in Intensive Care and Emergency Medicine is available from http://www.springer.com/series/8901.

Entities:  

Year:  2020        PMID： 32204716     DOI： 10.1186/s13054-020-2785-y

Source DB:  PubMed          Journal:  Crit Care        ISSN： 1364-8535            Impact factor:   9.097


  29 in total

1.  A multitask GNN-based interpretable model for discovery of selective JAK inhibitors.

Authors:  Yimeng Wang; Yaxin Gu; Chaofeng Lou; Yuning Gong; Zengrui Wu; Weihua Li; Yun Tang; Guixia Liu
Journal:  J Cheminform       Date:  2022-03-15       Impact factor: 5.514

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.  The future of antimicrobial dosing in the ICU: an opportunity for data science.

Authors:  Thomas De Corte; Paul Elbers; Jan De Waele
Journal:  Intensive Care Med       Date:  2021-10-11       Impact factor: 17.440

4.  Value of Intensive Nursing Detail Management in Intensive Care Unit Nursing.

Authors:  Yansong Li; Lehong Zhou; Qin Wei
Journal:  Evid Based Complement Alternat Med       Date:  2022-06-22       Impact factor: 2.650

Review 5.  Intensivist and COVID-19 in the United States of America: a narrative review of clinical roles, current workforce, and future direction.

Authors:  Nadia Nazir Jatoi; Sana Awan; Maham Abbasi; Momina Mariam Marufi; Muhammad Ahmed; Shehzeen Fatima Memon; Nimra Farooqui; Maaz Hasan Khan; Hadi Saiyid; Abdurrahman Husain; Kaneez Fatima; Shahram Maroof; Atul Malhotra
Journal:  Pan Afr Med J       Date:  2022-03-14

Review 6.  Upcoming and urgent challenges in critical care research based on COVID-19 pandemic experience.

Authors:  Franck Verdonk; Dorien Feyaerts; Rafael Badenes; Julie A Bastarache; Adrien Bouglé; Wesley Ely; Brice Gaudilliere; Christopher Howard; Katarzyna Kotfis; Alexandre Lautrette; Matthieu Le Dorze; Babith Joseph Mankidy; Michael A Matthay; Christopher K Morgan; Aurélien Mazeraud; Brijesh V Patel; Rajyabardhan Pattnaik; Jean Reuter; Marcus J Schultz; Tarek Sharshar; Gentle S Shrestha; Charles Verdonk; Lorraine B Ware; Romain Pirracchio; Matthieu Jabaudon
Journal:  Anaesth Crit Care Pain Med       Date:  2022-06-30       Impact factor: 7.025

7.  Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit.

Authors:  Davy van de Sande; Michel E van Genderen; Joost Huiskens; Diederik Gommers; Jasper van Bommel
Journal:  Intensive Care Med       Date:  2021-06-05       Impact factor: 17.440

8.  Opportunities and challenges of artificial intelligence in the medical field: current application, emerging problems, and problem-solving strategies.

Authors:  Lushun Jiang; Zhe Wu; Xiaolan Xu; Yaqiong Zhan; Xuehang Jin; Li Wang; Yunqing Qiu
Journal:  J Int Med Res       Date:  2021-03       Impact factor: 1.671

Review 9.  Utilizing Artificial Intelligence in Critical Care: Adding A Handy Tool to Our Armamentarium.

Authors:  Munish Sharma; Pahnwat T Taweesedt; Salim Surani
Journal:  Cureus       Date:  2021-06-08

10.  An exploratory data quality analysis of time series physiologic signals using a large-scale intensive care unit database.

Authors:  Ali S Afshar; Yijun Li; Zixu Chen; Yuxuan Chen; Jae Hun Lee; Darius Irani; Aidan Crank; Digvijay Singh; Michael Kanter; Nauder Faraday; Hadi Kharrazi
Journal:  JAMIA Open       Date:  2021-08-02
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