数字技术在病理学家工作中的应用:使用自动语音识别系统培训的研究
- 作者: Khramtsov A.1, Nasyrov R.2, Khramtsova G.3
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隶属关系:
- Ann & Robert H. Lurie Children’s Hospital of Chicago
- Saint Petersburg State Pediatric Medical University of the Ministry of Healthcare of the Russian Federation
- The University of Chicago
- 期: 卷 12, 编号 3 (2021)
- 页面: 63-68
- 栏目: Reviews
- URL: https://journals.rcsi.science/pediatr/article/view/83060
- DOI: https://doi.org/10.17816/PED12363-68
- ID: 83060
如何引用文章
详细
自然语言处理,或Natural language processing是计算语言学的一个领域。这是计算机科学的一个分支,包括自然语言中的语音和文本的算法处理。利用这些算法,机器翻译系统、问题答案和数字自动语音识别应运而生。数字自动语音识别的应用主要是在人机交互过程中进行语音转换,生成相关且有意义的文本,以及用自然语言进行交流。如今,这些系统被广泛应用于医学实践,包括病理解剖学。成功使用自动语音识别系统的主要步骤如下:编写标准模板(用于自动纳入诊断的描述),并培训医生在实践中使用此类系统的技能。长期以来,世界各地的医生都试图将病理解剖学结论标准化。通过对国内外文献的研究,我们编制了宏观描述和微观描述中必须包含的元素列表,并在最终结论中体现出来。这些模板有助于作出决定和准确地作出诊断,因为它们按照重要性的顺序包含所有关键因素。这大大减少了对固定宏观材料和额外组织学切片的重复检查。内置在数字自动语音识别中的模板可以减少维护文档的时间,并显著减少病理学家的工作量。为成功使用数字自动语音识别,我们为国内外博士研究生开设了《解剖病理学实践中的数字语音识别》培训课程。这篇文章给出了课程的简要描述,课程本身可以在互联网上找到。
作者简介
Andrey Khramtsov
Ann & Robert H. Lurie Children’s Hospital of Chicago
编辑信件的主要联系方式.
Email: duvip@yandex.ru
MD, PhD, Senior Researcher, Department of Pathology and Laboratory Medicine
美国, ChicagoRuslan Nasyrov
Saint Petersburg State Pediatric Medical University of the Ministry of Healthcare of the Russian Federation
Email: ran.53@mail.ru
MD, PhD, Dr. Sci. (Med.), Professor, Head, Department of Anatomic Pathology and Forensic Medicine
俄罗斯联邦, Saint PetersburgGalina Khramtsova
The University of Chicago
Email: galina@uchicago.edu
MD, PhD, Senior Researcher, Department of Medicine, Section of Hematology and Oncology
美国, Chicago参考
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