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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
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人工智能心声学:当前状态和未来方向

Yuki Sahashi1, David Ouyang2, Hiroyuki Okura3

  • 1Department of Cardiology, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Department of Cardiology, Gifu University Graduate School of Medicine, Gifu, Japan.

Journal of cardiology
|March 1, 2025
PubMed
概括

心声学中的人工智能 (AI) 自动化了心脏成像分析,预测疾病和心血管事件. 生成型人工智能进一步增强了这一领域,有望得到更广泛的临床采用.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.心声回声扫描 (Echocardiography) 是一种心声回声扫描.生成型的人工智能 (GAI) 是一种人工智能.

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Murine Fetal Echocardiography
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Author Spotlight: Advancements in Intracardiac Echocardiography for Atrial Anatomy Assessment
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Author Spotlight: Advancements in Intracardiac Echocardiography for Atrial Anatomy Assessment

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相关实验视频

Last Updated: May 24, 2025

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Published on: October 28, 2020

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Murine Fetal Echocardiography
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科学领域:

  • 心血管成像 - 心血管成像
  • 人工智能在医学中的应用
  • 深度学习应用程序

背景情况:

  • 心声谱对于心脏结构和病理学评估至关重要.
  • 传统方法依赖于专业的超声波专家和专家,限制了可访问性.
  • 深度学习提供了自动化的参数采集和分析.

研究的目的:

  • 审查深度学习模型在心声回声学中的能力.
  • 讨论局限性,当前的应用和未来的研究方向.
  • 探索生成性人工智能在心脏成像中的潜力.

主要方法:

  • 对应于心声回声数据的深度学习和生成人工智能技术的审查.
  • 分析自动化参数获取和疾病预测能力.
  • 检查零射击预测和自动报告生成.

主要成果:

  • 深度学习模型可以自动获取回声心脏学参数.
  • 人工智能模型展示了对疾病和心血管事件的预测能力.
  • 生成性AI可实现零射击预测和自动报告生成.

结论:

  • 人工智能增强的心声回声显示了常规临床实践的巨大潜力.
  • 该领域正在迅速发展,深度学习和生成AI.
  • 预计进一步的发展将提高心脏护理的可访问性和效率.