Literature DB >> 29166324

Artificial Intelligence for Everyone.

Pedro Gambus1, Steven L Shafer.   

Abstract

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Year:  2018        PMID: 29166324     DOI: 10.1097/ALN.0000000000001984

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


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  5 in total

1.  Machine-Learning Implementation in Clinical Anesthesia: Opportunities and Challenges.

Authors:  Danton S Char; Alyssa Burgart
Journal:  Anesth Analg       Date:  2020-06       Impact factor: 5.108

2.  Artificial Intelligence and Machine Learning in Anesthesiology.

Authors:  Christopher W Connor
Journal:  Anesthesiology       Date:  2019-12       Impact factor: 7.892

3.  Clinical Application of Artificial Intelligence: Auto-Discerning the Effectiveness of Lidocaine Concentration Levels in Osteosarcoma Femoral Tumor Segment Resection.

Authors:  Shuqin Ni; Xin Li; Xiuna Yi
Journal:  J Healthc Eng       Date:  2022-03-28       Impact factor: 2.682

4.  Artificial Intelligence for Anesthesia: What the Practicing Clinician Needs to Know: More than Black Magic for the Art of the Dark.

Authors:  Michael R Mathis; Sachin Kheterpal; Kayvan Najarian
Journal:  Anesthesiology       Date:  2018-10       Impact factor: 7.892

5.  What every intensivist should know about Big Data and targeted machine learning in the intensive care unit.

Authors:  Ményssa Cherifa; Romain Pirracchio
Journal:  Rev Bras Ter Intensiva       Date:  2019 Oct-Dec
  5 in total

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