Literature DB >> 31818376

Artificial Intelligence in Radiology: Summary of the AUR Academic Radiology and Industry Leaders Roundtable.

Stephen Chan1, Janet Bailey2, Pablo R Ros3.   

Abstract

The AUR Academic Radiology and Industry Leaders Roundtable was organized as an open discussion between academic leaders of top US academic radiology departments and industry leaders from top companies that provide equipment and services to radiology, including manufacturers, pharmaceutical companies, software developers and electronic medical record (EMR) providers. The format was that of a structured brainstorming session with pre-selected discussion topics. This roundtable was instrumental in widening perspectives and providing insights into the challenges and opportunities for our specialty, such as in the case of Artificial Intelligence (AI).
Copyright © 2019 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Keywords:  academic radiology; academic-industry partnerships; artificial intelligence

Year:  2020        PMID: 31818376     DOI: 10.1016/j.acra.2019.07.031

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  3 in total

1.  Accelerating the Translation of Artificial Intelligence From Ideas to Routine Clinical Workflow.

Authors:  MingDe Lin
Journal:  Acad Radiol       Date:  2020-01       Impact factor: 3.173

2.  Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT.

Authors:  Riemer H J A Slart; Michelle C Williams; Luis Eduardo Juarez-Orozco; Christoph Rischpler; Marc R Dweck; Andor W J M Glaudemans; Alessia Gimelli; Panagiotis Georgoulias; Olivier Gheysens; Oliver Gaemperli; Gilbert Habib; Roland Hustinx; Bernard Cosyns; Hein J Verberne; Fabien Hyafil; Paola A Erba; Mark Lubberink; Piotr Slomka; Ivana Išgum; Dimitris Visvikis; Márton Kolossváry; Antti Saraste
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-04-17       Impact factor: 9.236

3.  Optimisation in daily practice - it's more than just radiation dose.

Authors:  Elizabeth A Krupinski
Journal:  J Med Radiat Sci       Date:  2020-03
  3 in total

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