Application of a Domain-specific BERT for Detection of Speech Recognition Errors in Radiology Reports-Reference-Cited by-同舟云学术

Application of a Domain-specific BERT for Detection of Speech Recognition Errors in Radiology Reports

Published:2022-07-01 Issue:4 Volume:4 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Chaudhari Gunvant R.¹^ORCID,Liu Tengxiao¹^ORCID,Chen Timothy L.¹^ORCID,Joseph Gabby B.¹^ORCID,Vella Maya¹^ORCID,Lee Yoo Jin¹,Vu Thienkhai H.¹,Seo Youngho¹,Rauschecker Andreas M.¹^ORCID,McCulloch Charles E.¹^ORCID,Sohn Jae Ho¹^ORCID

Affiliation:

1. From the Department of Radiology and Biomedical Imaging (G.R.C., T.L., T.L.C., G.B.J., M.V., Y.J.L., T.H.V., Y.S., A.M.R., J.H.S.) and Department of Epidemiology and Statistics (C.E.M.), University of California San Francisco, 505 Parnassus Ave, San Francisco, CA 94143.

Publisher

Radiological Society of North America (RSNA)

Subject

Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.210185

Reference14 articles.

1. Implementation of Speech Recognition in a Community-based Radiology Practice: Effect on Report Turnaround Times

2. Syntactic and semantic errors in radiology reports associated with speech recognition software

3. Online Reasoning for Semantic Error Detection in Text

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