Literature DB >> 31481284

Artificial intelligence in radiology: the ecosystem essential to improving patient care.

Julie Sogani1, Bibb Allen2, Keith Dreyer3, Geraldine McGinty4.   

Abstract

The rapid development of artificial intelligence (AI) has led to its widespread use in multiple industries, including healthcare. AI has the potential to be a transformative technology that will significantly impact patient care. Particularly, AI has a promising role in radiology, in which computers are indispensable and new technological advances are often sought out and adopted early in clinical practice. We present an overview of the basic definitions of common terms, the development of an AI ecosystem in imaging and its value in mitigating the challenges of implementation in clinical practice.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Radiology artificial intelligence machine learning

Mesh:

Year:  2019        PMID: 31481284     DOI: 10.1016/j.clinimag.2019.08.001

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  4 in total

1.  Artificial intelligence: radiologists' expectations and opinions gleaned from a nationwide online survey.

Authors:  Francesca Coppola; Lorenzo Faggioni; Daniele Regge; Andrea Giovagnoni; Rita Golfieri; Corrado Bibbolino; Vittorio Miele; Emanuele Neri; Roberto Grassi
Journal:  Radiol Med       Date:  2020-04-29       Impact factor: 3.469

Review 2.  Development and applications of computer image analysis algorithms for scoring of PD-L1 immunohistochemistry.

Authors:  L J Inge; E Dennis
Journal:  Immunooncol Technol       Date:  2020-05-11

3.  Pre-treatment CT imaging in stage IIIA lung cancer: Can we predict local recurrence after definitive chemoradiotherapy?

Authors:  Andrew J Plodkowski; Jose Arimateia Batista Araujo-Filho; Cameron D A Simmers; Jeffrey Girshman; Micheal Raj; Junting Zheng; Andreas Rimner; Michelle S Ginsberg
Journal:  Clin Imaging       Date:  2020-07-17       Impact factor: 1.605

4.  Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors.

Authors:  Lea Strohm; Charisma Hehakaya; Erik R Ranschaert; Wouter P C Boon; Ellen H M Moors
Journal:  Eur Radiol       Date:  2020-05-26       Impact factor: 5.315

  4 in total

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