Literature DB >> 33937789

Fostering a Healthy AI Ecosystem for Radiology: Conclusions of the 2018 RSNA Summit on AI in Radiology.

Falgun H Chokshi1, Adam E Flanders1, Luciano M Prevedello1, Curtis P Langlotz1.   

Abstract

The 2018 RSNA Summit on AI in Radiology brought together a diverse group of stakeholders to identify and prioritize areas of need related to artificial intelligence in radiology. This article presents the proceedings of the summit with emphasis on RSNA's role in leading, organizing, and catalyzing change during this important time in radiology. © RSNA, 2019. 2019 by the Radiological Society of North America, Inc.

Entities:  

Year:  2019        PMID： 33937789      PMCID： PMC8017423          DOI： 10.1148/ryai.2019190021

Source DB:  PubMed          Journal:  Radiol Artif Intell        ISSN： 2638-6100


  29 in total

1.  RadLex: a new method for indexing online educational materials.

Authors:  Curtis P Langlotz
Journal:  Radiographics       Date:  2006 Nov-Dec       Impact factor: 5.333

2.  Toward best practices in radiology reporting.

Authors:  Charles E Kahn; Curtis P Langlotz; Elizabeth S Burnside; John A Carrino; David S Channin; David M Hovsepian; Daniel L Rubin
Journal:  Radiology       Date:  2009-09       Impact factor: 11.105

3.  The Need for a Machine Learning Curriculum for Radiologists.

Authors:  Monica J Wood; Neil A Tenenholtz; J Raymond Geis; Mark H Michalski; Katherine P Andriole
Journal:  J Am Coll Radiol       Date:  2018-12-07       Impact factor: 5.532

4.  Common Data Elements in Radiology.

Authors:  Daniel L Rubin; Charles E Kahn
Journal:  Radiology       Date:  2016-11-10       Impact factor: 11.105

Review 5.  Leveraging Technology to Improve Radiology Workflow.

Authors:  Vishal Desai; Adam Flanders; Adam C Zoga
Journal:  Semin Musculoskelet Radiol       Date:  2018-11-06       Impact factor: 1.777

Review 6.  Peering Into the Black Box of Artificial Intelligence: Evaluation Metrics of Machine Learning Methods.

Authors:  Guy S Handelman; Hong Kuan Kok; Ronil V Chandra; Amir H Razavi; Shiwei Huang; Mark Brooks; Michael J Lee; Hamed Asadi
Journal:  AJR Am J Roentgenol       Date:  2018-10-17       Impact factor: 3.959

7.  Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs.

Authors:  David B Larson; Matthew C Chen; Matthew P Lungren; Safwan S Halabi; Nicholas V Stence; Curtis P Langlotz
Journal:  Radiology       Date:  2017-11-02       Impact factor: 11.105

8.  Will machine learning end the viability of radiology as a thriving medical specialty?

Authors:  Stephen Chan; Eliot L Siegel
Journal:  Br J Radiol       Date:  2018-11-01       Impact factor: 3.039

9.  Machine learning in medicine: Addressing ethical challenges.

Authors:  Effy Vayena; Alessandro Blasimme; I Glenn Cohen
Journal:  PLoS Med       Date:  2018-11-06       Impact factor: 11.069

10.  Distributed deep learning networks among institutions for medical imaging.

Authors:  Ken Chang; Niranjan Balachandar; Carson Lam; Darvin Yi; James Brown; Andrew Beers; Bruce Rosen; Daniel L Rubin; Jayashree Kalpathy-Cramer
Journal:  J Am Med Inform Assoc       Date:  2018-08-01       Impact factor: 7.942
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  1 in total

1.  An efficient magnetic resonance image data quality screening dashboard.

Authors:  Evan D H Gates; Adrian Celaya; Dima Suki; Dawid Schellingerhout; David Fuentes
Journal:  J Appl Clin Med Phys       Date:  2022-02-11       Impact factor: 2.102
  1 in total

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