Literature DB >> 31215974

Use of Artificial Intelligence to Represent Emergent Systems and Augment Surgical Decision-making.

Tyler J Loftus1, Gilbert R Upchurch1, Azra Bihorac2.   

Abstract

Entities:  

Year:  2019        PMID： 31215974     DOI： 10.1001/jamasurg.2019.1510

Source DB:  PubMed          Journal:  JAMA Surg        ISSN： 2168-6254            Impact factor:   14.766


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  4 in total

1.  Artificial intelligence in cardiothoracic surgery.

Authors:  Roger D Dias; Julie A Shah; Marco A Zenati
Journal:  Minerva Cardioangiol       Date:  2020-09-29       Impact factor: 1.347

Review 2.  What Can We Learn About Drug Safety and Other Effects in the Era of Electronic Health Records and Big Data That We Would Not Be Able to Learn From Classic Epidemiology?

Authors:  Ali Zarrinpar; Ting-Yuan David Cheng; Zhiguang Huo
Journal:  J Surg Res       Date:  2019-10-22       Impact factor: 2.192

Review 3.  Phenotype clustering in health care: A narrative review for clinicians.

Authors:  Tyler J Loftus; Benjamin Shickel; Jeremy A Balch; Patrick J Tighe; Kenneth L Abbott; Brian Fazzone; Erik M Anderson; Jared Rozowsky; Tezcan Ozrazgat-Baslanti; Yuanfang Ren; Scott A Berceli; William R Hogan; Philip A Efron; J Randall Moorman; Parisa Rashidi; Gilbert R Upchurch; Azra Bihorac
Journal:  Front Artif Intell       Date:  2022-08-12

Review 4.  WSES project on decision support systems based on artificial neural networks in emergency surgery.

Authors:  Andrey Litvin; Sergey Korenev; Sophiya Rumovskaya; Massimo Sartelli; Gianluca Baiocchi; Walter L Biffl; Federico Coccolini; Salomone Di Saverio; Michael Denis Kelly; Yoram Kluger; Ari Leppäniemi; Michael Sugrue; Fausto Catena
Journal:  World J Emerg Surg       Date:  2021-09-26       Impact factor: 5.469
  4 in total

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