Literature DB >> 31279913

Artificial Intelligence in Aortic Surgery: The Rise of the Machine.

Mohamad Bashir1, Amer Harky2.   

Abstract

The first concept of Artificial Intelligence (AI) came into attention during 1920s and currently it is rapidly being integrated in our daily clinical practice. The use of AI has evolved from basic image-based analysis into complex decisions related to different surgical procedure. AI has been very widely used in the cardiology field, however the use of such machine-led decisions has been limited and explored at slower pace in surgical practice. The use of AI in cardiac surgery is still at its infancy but growing dramatically to reflect the changes in the clinical decision making process for better patient outcomes. The machine-led but human controlled algorithms will soon be taking over most of the decision making processes in cardiac surgery. This review article focuses on the practice of AI in aortic surgery and the future of such technology-led decision making pathways on patient outcomes, surgeon's learning skills and adaptability.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aortic surgery; Artificial intelligence; Big data; Machine learning

Year:  2019        PMID: 31279913     DOI: 10.1053/j.semtcvs.2019.05.040

Source DB:  PubMed          Journal:  Semin Thorac Cardiovasc Surg        ISSN: 1043-0679


  3 in total

Review 1.  The automaton as a surgeon: the future of artificial intelligence in emergency and general surgery.

Authors:  Lara Rimmer; Callum Howard; Leonardo Picca; Mohamad Bashir
Journal:  Eur J Trauma Emerg Surg       Date:  2020-07-26       Impact factor: 3.693

Review 2.  Artificial intelligence and cardiac surgery during COVID-19 era.

Authors:  Raveena K Khalsa; Arwa Khashkhusha; Sara Zaidi; Amer Harky; Mohamad Bashir
Journal:  J Card Surg       Date:  2021-02-10       Impact factor: 1.778

Review 3.  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

  3 in total

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