Literature DB >> 35923379

On the Opportunities and Risks of Foundation Models for Natural Language Processing in Radiology.

Walter F Wiggins1, Ali S Tejani1.   

Abstract

Entities:  

Year:  2022        PMID: 35923379      PMCID: PMC9344208          DOI: 10.1148/ryai.220119

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


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  4 in total

1.  Natural Language Processing of Radiology Text Reports: Interactive Text Classification.

Authors:  Walter F Wiggins; Felipe Kitamura; Igor Santos; Luciano M Prevedello
Journal:  Radiol Artif Intell       Date:  2021-05-12

2.  RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification.

Authors:  Ajay Jaiswal; Liyan Tang; Meheli Ghosh; Justin F Rousseau; Yifan Peng; Ying Ding
Journal:  Proc Mach Learn Res       Date:  2021-12

Review 3.  Applications of natural language processing in radiology: A systematic review.

Authors:  Nathaniel Linna; Charles E Kahn
Journal:  Int J Med Inform       Date:  2022-04-26       Impact factor: 4.730

4.  BI-RADS BERT and Using Section Segmentation to Understand Radiology Reports.

Authors:  Grey Kuling; Belinda Curpen; Anne L Martel
Journal:  J Imaging       Date:  2022-05-09
  4 in total

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