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Abstract No. 478 Procedure dictations to t-test: leveraging natural language parsing in interventional radiology for extracting clinically significant medical data from unstructured dictations

机译：摘要第478号程序对T检测：利用介入放射学的自然语言解析，从非结构解释中提取临床显着的医学数据

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L. Zhou; R. Abboud; K. Dickey; M. Miller;
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1. Early experience using an online reporting system for interventional radiology procedure-related complications integrated with a digital dictation system. [J] . Gupta S, Patel J, McEnery K, Journal of digital imaging: the official journal of the Society for Computer Applications in Radiology . 2011,第4期

机译：使用在线报告系统处理与放射线操作相关的并发症并与数字听写系统集成的早期经验。
2. Early Experience Using an Online Reporting System for Interventional Radiology Procedure-Related Complications Integrated with a Digital Dictation System [J] . Sanjay Gupta, Jay Patel, Kevin McEnery, Journal of Digital Imaging . 2011,第4期

机译：使用在线报告系统进行介入放射学程序相关并发症并结合数字听写系统的早期经验
3. Frequency and analysis of non-clinical errors made in radiology reports using the National Integrated Medical Imaging System voice recognition dictation software [J] . Motyer R. E., Liddy S., Torreggiani W. C., Irish journal of medical science . 2016,第4期

机译：使用National Integrated Medical Imaging System语音识别听写软件对放射学报告中出现的非临床错误进行频率分析
4. Parsing Natural Language Queries for Extracting Data from Large-Scale Geospatial Transportation Asset Repositories [C] . Tuyen Le, H. David Jeong, Stephen B. Gilbert, Construction research congress . 2018

机译：解析自然语言查询以从大型地理空间运输资产存储库中提取数据
5. Early Experience Using an Online Reporting System for Interventional Radiology Procedure-Related Complications Integrated with a Digital Dictation System [O] . Sanjay Gupta, Jay Patel, Kevin McEnery, 2011

机译：使用在线报告系统进行介入放射学程序相关并发症并结合数字听写系统的早期经验
6. Abstract No. 576 Comparison of a model for extracting high-quality and clinically significant medical data from unstructured interventional radiology documentation to manual review [O] . L. Zhou, R. Abboud, K. Dickey, 2021

机译：摘要从非结构化介入放射学文献中提取高质量和临床显着医学数据的模型的第576号比较

Abstract No. 478 Procedure dictations to t-test: leveraging natural language parsing in interventional radiology for extracting clinically significant medical data from unstructured dictations

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