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相关概念视频

Heart Valves01:16

Heart Valves

The human heart is a complex organ with an intricate system of valves that regulate blood flow. There are two main types of valves: atrioventricular (AV) valves and semilunar valves.
The AV valves prevent the backflow of blood from the ventricles to the atria during ventricular contraction. These valves function with the assistance of the chordae tendineae and papillary muscles. When the ventricles are relaxed, the chordae tendineae are slack, allowing blood to flow from the atria into the...
Regulation of Stroke Volume01:27

Regulation of Stroke Volume

The regulation of stroke volume, which is the amount of blood the heart pumps out during each heartbeat, is critical for maintaining a healthy circulatory system. Stroke volume is influenced by three main factors: preload, contractility, and afterload.
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
Autoregulation of Blood Flow01:17

Autoregulation of Blood Flow

Autoregulation mechanisms are characterized by their inherent capacity for self-regulation without necessitating specific nervous stimulation or endocrine control. These mechanisms facilitate the adjustment of blood flow and, therefore, perfusion specific to each tissue region. This self-regulation encompasses chemical signals and myogenic controls.
Chemical Signaling in Autoregulation
Chemical signaling operates at the precapillary sphincter level, inciting either contraction or relaxation.
Mitral Regurgitation I: Introduction01:20

Mitral Regurgitation I: Introduction

Mitral regurgitation is characterized by the backward circulation of blood from the left ventricle to the left atrium during systole, a phase of the cardiac cycle when the heart contracts and pumps blood out of the chambers. This abnormal flow occurs primarily due to the dysfunction of the mitral valve or its supporting structures, which include the mitral leaflets, chordae tendineae, annulus, and papillary muscles.Etiology and Mechanisms:Primary Mitral Regurgitation: This type arises from...

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Echocardiographic Approaches and Protocols for Comprehensive Phenotypic Characterization of Valvular Heart Disease in Mice
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自动化深度学习管道用于表征左心室扩张功能.

Victoria Yuan1,2, Yuki Sahashi1, Hirotaka Ieki3

  • 1Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA.

medRxiv : the preprint server for health sciences
|May 9, 2025
PubMed
概括
此摘要是机器生成的。

与人类临床医生相比,人工智能 (AI) 工作流在诊断左心室扩张功能障碍 (LVDD) 中表现出更好的一致性. 这种人工智能工具自动化了LVDD评估,潜在地提高了心力衰竭诊断.

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科学领域:

  • 心脏病学 心脏病学
  • 人工智能在医学中的应用
  • 医学成像分析 医学成像分析

背景情况:

  • 通过心声学对左心室扩张功能障碍 (LVDD) 的评估依赖于复杂的算法和次要特征,导致观察者之间的变化.
  • 目前用于LVDD的诊断方法是繁的,缺乏唯一的识别指标,导致临床评估的不一致性.

研究的目的:

  • 评估临床LVDD评估与既定指南的一致性.
  • 开发和验证人工智能 (AI) 工作流程,以使用心声图数据自动化LVDD评估.

主要方法:

  • 来自两个学术医疗中心的历史回声心电图研究的回顾性分析.
  • 开发了8个模型的人工智能工作流程,在超过155,000个心声回声图研究中进行了培训,用于LVDD评估.
  • 对AI工作流程的性能评估与2016年美国心声学会 (ASE) 的指导方针和临床医生的不同测试组的报告相比.

主要成果:

  • 人工智能工作流显示,与临床医生报告相比,AI指南的同意率 (76.5%在锡达斯西奈医院,66.7%在斯坦福大学) 和科恩的卡帕 (分别为0.52和0.27) 较高 (48.5%和32.7%的同意率;0.29和0.06卡帕).
  • 人工智能表现在各种患者亚组中保持一致,包括性别,年龄和高血压和糖尿病等并发症的变化.
  • 临床评估显示出显著的变异性,与ASE指南的一致性较低.

结论:

  • 临床医生对LVDD的评估表明存在显著的不一致性.
  • 一个人工智能管道已经成功开发出来,可以自动地从回声心脏图中对LVDD进行分级.
  • 这种自动化的AI方法有可能提高LVDD诊断的准确性和一致性,有助于更好地管理心力衰竭.