Literature DB >> 33218590

Current Trends in Artificial Intelligence Application for Endourology and Robotic Surgery.

Timothy C Chang1, Caleb Seufert2, Okyaz Eminaga2, Eugene Shkolyar2, Jim C Hu3, Joseph C Liao4.   

Abstract

With the advent of electronic medical records and digitalization of health care over the past 2 decades, artificial intelligence (AI) has emerged as an enabling tool to manage complex datasets and deliver streamlined data-driven patient care. AI algorithms have the ability to extract meaningful signal from complex datasets through an iterative process akin to human learning. Through advancements over the past decade in deep learning, AI-driven innovations have accelerated applications in health care. Herein, the authors explore the development of these emerging AI technologies, focusing on the application of AI to endourology and robotic surgery.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Artificial intelligence; Deep learning; Endourology; Urology

Mesh:

Year:  2020        PMID: 33218590     DOI: 10.1016/j.ucl.2020.09.004

Source DB:  PubMed          Journal:  Urol Clin North Am        ISSN: 0094-0143            Impact factor:   2.241


  5 in total

Review 1.  Breaking down the silos of artificial intelligence in surgery: glossary of terms.

Authors:  Andrea Moglia; Konstantinos Georgiou; Luca Morelli; Konstantinos Toutouzas; Richard M Satava; Alfred Cuschieri
Journal:  Surg Endosc       Date:  2022-06-21       Impact factor: 4.584

Review 2.  Infertility in Men: Advances towards a Comprehensive and Integrative Strategy for Precision Theranostics.

Authors:  Mourad Assidi
Journal:  Cells       Date:  2022-05-22       Impact factor: 7.666

3.  A deep learning framework for real-time 3D model registration in robot-assisted laparoscopic surgery.

Authors:  Erica Padovan; Giorgia Marullo; Leonardo Tanzi; Pietro Piazzolla; Sandro Moos; Francesco Porpiglia; Enrico Vezzetti
Journal:  Int J Med Robot       Date:  2022-03-13       Impact factor: 2.483

4.  A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology.

Authors:  Hesham Salem; Daniele Soria; Jonathan N Lund; Amir Awwad
Journal:  BMC Med Inform Decis Mak       Date:  2021-07-22       Impact factor: 2.796

5.  The role of AI technology in prediction, diagnosis and treatment of colorectal cancer.

Authors:  Chaoran Yu; Ernest Johann Helwig
Journal:  Artif Intell Rev       Date:  2021-07-04       Impact factor: 8.139

  5 in total

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