Literature DB >> 33937835

AI Hype and Radiology: A Plea for Realism and Accuracy.

John Banja1.   

Abstract

Entities:  

Year:  2020        PMID： 33937835      PMCID： PMC8082301          DOI： 10.1148/ryai.2020190223

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


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  4 in total

1.  The End of Radiology? Three Threats to the Future Practice of Radiology.

Authors:  Katie Chockley; Ezekiel Emanuel
Journal:  J Am Coll Radiol       Date:  2016-09-18       Impact factor: 5.532

2.  Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

Authors:  Varun Gulshan; Lily Peng; Marc Coram; Martin C Stumpe; Derek Wu; Arunachalam Narayanaswamy; Subhashini Venugopalan; Kasumi Widner; Tom Madams; Jorge Cuadros; Ramasamy Kim; Rajiv Raman; Philip C Nelson; Jessica L Mega; Dale R Webster
Journal:  JAMA       Date:  2016-12-13       Impact factor: 56.272

3.  A survey on the future of radiology among radiologists, medical students and surgeons: Students and surgeons tend to be more skeptical about artificial intelligence and radiologists may fear that other disciplines take over.

Authors:  Jasper van Hoek; Adrian Huber; Alexander Leichtle; Kirsi Härmä; Daniella Hilt; Hendrik von Tengg-Kobligk; Johannes Heverhagen; Alexander Poellinger
Journal:  Eur J Radiol       Date:  2019-11-09       Impact factor: 3.528

4.  What the radiologist should know about artificial intelligence - an ESR white paper.

Authors: 
Journal:  Insights Imaging       Date:  2019-04-04
  4 in total
  1 in total

1.  Do We Expect More from Radiology AI than from Radiologists?

Authors:  Maciej A Mazurowski
Journal:  Radiol Artif Intell       Date:  2021-03-17
  1 in total

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