Literature DB >> 31834423

Clinical management of sepsis can be improved by artificial intelligence: yes.

Matthieu Komorowski1,2.   

Abstract

Entities:  

Year:  2019        PMID： 31834423     DOI： 10.1007/s00134-019-05898-2

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN： 0342-4642            Impact factor:   17.440


× No keyword cloud information.
  9 in total

1.  Application of the Third International Consensus Definitions for Sepsis (Sepsis-3) Classification: a retrospective population-based cohort study.

Authors:  John P Donnelly; Monika M Safford; Nathan I Shapiro; John W Baddley; Henry E Wang
Journal:  Lancet Infect Dis       Date:  2017-03-04       Impact factor: 25.071

2.  Prediction of sepsis patients using machine learning approach: A meta-analysis.

Authors:  Md Mohaimenul Islam; Tahmina Nasrin; Bruno Andreas Walther; Chieh-Chen Wu; Hsuan-Chia Yang; Yu-Chuan Li
Journal:  Comput Methods Programs Biomed       Date:  2018-12-26       Impact factor: 5.428

3.  Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis.

Authors:  Christopher W Seymour; Jason N Kennedy; Shu Wang; Chung-Chou H Chang; Corrine F Elliott; Zhongying Xu; Scott Berry; Gilles Clermont; Gregory Cooper; Hernando Gomez; David T Huang; John A Kellum; Qi Mi; Steven M Opal; Victor Talisa; Tom van der Poll; Shyam Visweswaran; Yoram Vodovotz; Jeremy C Weiss; Donald M Yealy; Sachin Yende; Derek C Angus
Journal:  JAMA       Date:  2019-05-28       Impact factor: 56.272

4.  The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.

Authors:  Matthieu Komorowski; Leo A Celi; Omar Badawi; Anthony C Gordon; A Aldo Faisal
Journal:  Nat Med       Date:  2018-10-22       Impact factor: 53.440

Review 5.  High-performance medicine: the convergence of human and artificial intelligence.

Authors:  Eric J Topol
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

6.  Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial.

Authors:  David W Shimabukuro; Christopher W Barton; Mitchell D Feldman; Samson J Mataraso; Ritankar Das
Journal:  BMJ Open Respir Res       Date:  2017-11-09

7.  The Last Mile: Where Artificial Intelligence Meets Reality.

Authors:  Enrico Coiera
Journal:  J Med Internet Res       Date:  2019-11-08       Impact factor: 5.428

8.  Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU.

Authors:  Qingqing Mao; Melissa Jay; Jana L Hoffman; Jacob Calvert; Christopher Barton; David Shimabukuro; Lisa Shieh; Uli Chettipally; Grant Fletcher; Yaniv Kerem; Yifan Zhou; Ritankar Das
Journal:  BMJ Open       Date:  2018-01-26       Impact factor: 2.692

9.  Transcriptomic Signatures in Sepsis and a Differential Response to Steroids. From the VANISH Randomized Trial.

Authors:  David B Antcliffe; Katie L Burnham; Farah Al-Beidh; Shalini Santhakumaran; Stephen J Brett; Charles J Hinds; Deborah Ashby; Julian C Knight; Anthony C Gordon
Journal:  Am J Respir Crit Care Med       Date:  2019-04-15       Impact factor: 21.405
  9 in total
  6 in total

Review 1.  Artificial Intelligence for Clinical Decision Support in Sepsis.

Authors:  Miao Wu; Xianjin Du; Raymond Gu; Jie Wei
Journal:  Front Med (Lausanne)       Date:  2021-05-13

Review 2.  Digital microbiology.

Authors:  A Egli; J Schrenzel; G Greub
Journal:  Clin Microbiol Infect       Date:  2020-06-27       Impact factor: 8.067

3.  Early detection of sepsis using artificial intelligence: a scoping review protocol.

Authors:  Ivana Pepic; Robert Feldt; Lars Ljungström; Richard Torkar; Daniel Dalevi; Hanna Maurin Söderholm; Lars-Magnus Andersson; Marina Axelson-Fisk; Katarina Bohm; Bengt Arne Sjöqvist; Stefan Candefjord
Journal:  Syst Rev       Date:  2021-01-16

Review 4.  Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter.

Authors:  Davy van de Sande; Michel E Van Genderen; Jim M Smit; Joost Huiskens; Jacob J Visser; Robert E R Veen; Edwin van Unen; Oliver Hilgers Ba; Diederik Gommers; Jasper van Bommel
Journal:  BMJ Health Care Inform       Date:  2022-02

5.  Data science in the intensive care unit.

Authors:  Ming-Hao Luo; Dan-Lei Huang; Jing-Chao Luo; Ying Su; Jia-Kun Li; Guo-Wei Tu; Zhe Luo
Journal:  World J Crit Care Med       Date:  2022-09-09

6.  Undergraduate Medical Competencies in Digital Health and Curricular Module Development: Mixed Methods Study.

Authors:  Akira-Sebastian Poncette; Daniel Leon Glauert; Lina Mosch; Katarina Braune; Felix Balzer; David Alexander Back
Journal:  J Med Internet Res       Date:  2020-10-29       Impact factor: 5.428
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.