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相关概念视频

Imaging Studies for Cardiovascular System I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

280
Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
Indications: Echocardiography is utilized to diagnose heart failure, valve disorders, and myocardial infarction. It also assesses cardiac structures' size, shape, and motion,...
280
Imaging Studies for Cardiovascular System II:Types of Echocardiography01:20

Imaging Studies for Cardiovascular System II:Types of Echocardiography

215
Echocardiography plays a role in assessing cardiac health and detecting heart conditions, with various types providing critical insights for diagnosis and treatment.
Types of Echocardiography
Transthoracic Echocardiography (TTE)
TTE is the most common type of echocardiogram which involves placing a transducer on the patient's chest, emitting sound waves to create heart images. TTE is invaluable for evaluating the heart's size, structure, and motion, making it particularly useful for...
215

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相关实验视频

Updated: May 24, 2025

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
06:34

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography

Published on: October 28, 2020

3.8K

从非结构化的荷兰心声回声图报告中提取诊断,使用跨度和文档级别的特征分类.

Bauke Arends1, Melle Vessies2, Dirk van Osch2

  • 1Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands. b.k.o.arends-4@umcutrecht.nl.

BMC medical informatics and decision making
|March 6, 2025
PubMed
概括

从荷兰回声心电图报告中自动提取诊断是可行的,使用先进的机器学习模型,如SpanCategorizer和MedRoBERTa.nl. 这些工具大大减少了手工劳动,提高了临床研究和决策支持的效率.

关键词:
临床自然语言处理 临床自然语言处理文档分类 文档分类 文档分类一个心声回声图 (Echocardiogram) 是一个心声回声图.实体的分类实体的分类.在Span分类中,分类范围是:

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Ultrasonic Assessment of Myocardial Microstructure
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Ultrasonic Assessment of Myocardial Microstructure

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Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography
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Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography

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相关实验视频

Last Updated: May 24, 2025

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
06:34

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography

Published on: October 28, 2020

3.8K
Ultrasonic Assessment of Myocardial Microstructure
10:53

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

5.4K
Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography
07:11

Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography

Published on: October 28, 2020

2.8K

科学领域:

  • 医疗信息学 医疗信息学
  • 自然语言处理自然语言处理.
  • 心脏病学 心脏病学

背景情况:

  • 临床机器学习和人工智能决策支持需要准确的标签.
  • 从临床报告中手动提取标签是耗时且昂贵的.
  • 这项研究评估了从荷兰回声心脏图报告中提取的自动诊断.

研究的目的:

  • 评估自动跨度和文档级诊断提取的可行性.
  • 为了比较各种自动标签技术的性能.
  • 确定临床报告分析的最佳模型.

主要方法:

  • 利用了115,692份荷兰心声回声图报告.
  • 手动注释心脏特征的一个子集.
  • 开发并评估了跨度和文档级标签模型 (SpanCategorizer,MedRoBERTa.nl,SetFit).
  • 使用权重和宏 F1 评分,精度和回忆来衡量性能.

主要成果:

  • SpanCategorizer和MedRoBERTa.nl在分别对跨度和文档分类表现出了卓越的表现.
  • 权重的F1分数在0.60-0.93 (SpanCategorizer) 和0.96-0.98 (MedRoBERTa.nl) 之间.
  • 直接的文档分类表现优于间接的方法;SetFit在有限的数据中显示出有希望的结果.

结论:

  • 建议SpanCategorizer和MedRoBERTa.nl用于从荷兰回声心脏图中提取诊断.
  • 建议SetFit作为文件分类的替代方案,培训数据有限.
  • 建议未来对基于RoBERTa的跨度分类器和英语模型翻译进行研究.