Literature DB >> 33380745

Preventing Intraoperative Hypotension: Artificial Intelligence versus Augmented Intelligence?

Mozziyar Etemadi1,2, Charles W Hogue2.   

Abstract

Entities:  

Year:  2020        PMID： 33380745      PMCID： PMC7769137          DOI： 10.1097/ALN.0000000000003561

Source DB:  PubMed          Journal:  Anesthesiology        ISSN： 0003-3022            Impact factor:   7.892


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  12 in total

1.  Relationship between intraoperative mean arterial pressure and clinical outcomes after noncardiac surgery: toward an empirical definition of hypotension.

Authors:  Michael Walsh; Philip J Devereaux; Amit X Garg; Andrea Kurz; Alparslan Turan; Reitze N Rodseth; Jacek Cywinski; Lehana Thabane; Daniel I Sessler
Journal:  Anesthesiology       Date:  2013-09       Impact factor: 7.892

2.  Association of intraoperative hypotension with acute kidney injury after elective noncardiac surgery.

Authors:  Louise Y Sun; Duminda N Wijeysundera; Gordon A Tait; W Scott Beattie
Journal:  Anesthesiology       Date:  2015-09       Impact factor: 7.892

3.  Prediction of imminent, severe deterioration of children with parallel circulations using real-time processing of physiologic data.

Authors:  Craig G Rusin; Sebastian I Acosta; Lara S Shekerdemian; Eric L Vu; Aarti C Bavare; Risa B Myers; Lance W Patterson; Ken M Brady; Daniel J Penny
Journal:  J Thorac Cardiovasc Surg       Date:  2016-04-16       Impact factor: 5.209

4.  Effect of a Machine Learning-Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery: The HYPE Randomized Clinical Trial.

Authors:  Marije Wijnberge; Bart F Geerts; Liselotte Hol; Nikki Lemmers; Marijn P Mulder; Patrick Berge; Jimmy Schenk; Lotte E Terwindt; Markus W Hollmann; Alexander P Vlaar; Denise P Veelo
Journal:  JAMA       Date:  2020-03-17       Impact factor: 56.272

5.  Incidence of intraoperative hypotension as a function of the chosen definition: literature definitions applied to a retrospective cohort using automated data collection.

Authors:  Jilles B Bijker; Wilton A van Klei; Teus H Kappen; Leo van Wolfswinkel; Karel G M Moons; Cor J Kalkman
Journal:  Anesthesiology       Date:  2007-08       Impact factor: 7.892

6.  Hypotension Prediction Index for Prevention of Hypotension during Moderate- to High-risk Noncardiac Surgery.

Authors:  Kamal Maheshwari; Tetsuya Shimada; Dongsheng Yang; Sandeep Khanna; Jacek B Cywinski; Samuel A Irefin; Sabry Ayad; Alparslan Turan; Kurt Ruetzler; Yuwei Qiu; Partha Saha; Edward J Mascha; Daniel I Sessler
Journal:  Anesthesiology       Date:  2020-12-01       Impact factor: 7.892

7.  Postoperative Hypotension after Noncardiac Surgery and the Association with Myocardial Injury.

Authors:  Victor G B Liem; Sanne E Hoeks; Kristin H J M Mol; Jan Willem Potters; Frank Grüne; Robert Jan Stolker; Felix van Lier
Journal:  Anesthesiology       Date:  2020-09       Impact factor: 7.892

8.  Machine-learning Algorithm to Predict Hypotension Based on High-fidelity Arterial Pressure Waveform Analysis.

Authors:  Feras Hatib; Zhongping Jian; Sai Buddi; Christine Lee; Jos Settels; Karen Sibert; Joseph Rinehart; Maxime Cannesson
Journal:  Anesthesiology       Date:  2018-10       Impact factor: 7.892

9.  End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography.

Authors:  Diego Ardila; Atilla P Kiraly; Sujeeth Bharadwaj; Bokyung Choi; Joshua J Reicher; Lily Peng; Daniel Tse; Mozziyar Etemadi; Wenxing Ye; Greg Corrado; David P Naidich; Shravya Shetty
Journal:  Nat Med       Date:  2019-05-20       Impact factor: 53.440

10.  International evaluation of an AI system for breast cancer screening.

Authors:  Scott Mayer McKinney; Marcin Sieniek; Varun Godbole; Jonathan Godwin; Natasha Antropova; Hutan Ashrafian; Trevor Back; Mary Chesus; Greg S Corrado; Ara Darzi; Mozziyar Etemadi; Florencia Garcia-Vicente; Fiona J Gilbert; Mark Halling-Brown; Demis Hassabis; Sunny Jansen; Alan Karthikesalingam; Christopher J Kelly; Dominic King; Joseph R Ledsam; David Melnick; Hormuz Mostofi; Lily Peng; Joshua Jay Reicher; Bernardino Romera-Paredes; Richard Sidebottom; Mustafa Suleyman; Daniel Tse; Kenneth C Young; Jeffrey De Fauw; Shravya Shetty
Journal:  Nature       Date:  2020-01-01       Impact factor: 49.962
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  1 in total

1.  Exploratory Outlier Detection for Acceleromyographic Neuromuscular Monitoring: Machine Learning Approach.

Authors:  Michaël Verdonck; Hugo Carvalho; Johan Berghmans; Patrice Forget; Jan Poelaert
Journal:  J Med Internet Res       Date:  2021-05-31       Impact factor: 5.428
  1 in total

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