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相关概念视频

X-ray Imaging01:24

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with X-rays, and by 1900, X-ray was widely...
Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and the...
Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...

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相关实验视频

Updated: Jun 17, 2026

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

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胸部X射线的人工智能辅助检测 (AID-CXR):一个多个阅读器的多个病例研究协议.

Farhaan Khan1, Indrajeet Das2, Marusa Kotnik3

  • 1Oxford University Hospitals NHS Foundation Trust, Oxford, UK farhaan.a.khan@outlook.com.

BMJ open
|January 14, 2025
PubMed
概括
此摘要是机器生成的。

本研究评估了一种人工智能工具,以帮助医疗保健专业人员解释胸部X射线 (CXR),旨在提高各种异常的诊断准确度和速度.

关键词:
胸部成像 - 胸部成像诊断成像 诊断成像 诊断成像呼吸器医学 (见胸部医学)

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Author Spotlight: Standardization and Best Practices for Advancing Lung Imaging Using 129Xe MRI
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Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
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Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

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相关实验视频

Last Updated: Jun 17, 2026

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

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Author Spotlight: Standardization and Best Practices for Advancing Lung Imaging Using 129Xe MRI
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科学领域:

  • 医疗成像医学成像
  • 医疗保健中的人工智能
  • 放射学 放射学是一门学科.

背景情况:

  • 胸部X射线 (CXR) 是全球普遍存在的诊断工具.
  • 人工智能 (AI) 提供了增强CXR解释的潜力.
  • 对AI对使用CXRs的非放射科医生医疗保健专业人员的影响的证据有限.

研究的目的:

  • 评估基于AI的CXR解释工具的有效性.
  • 评估各种医疗保健专业人员在诊断准确度,速度和信心方面的改进.
  • 确定AI在支持日常CXR审查实践中的实用性.

主要方法:

  • 使用500个回顾性住院和急诊室CXR.
  • 通过专家放射科医生审查建立一个参考标准.
  • 将Lunit INSIGHT CXR工具的性能与参考标准和阅读器性能与/或没有人工智能辅助进行比较.

主要成果:

  • 计算10个关键异常的接收器操作特征曲线 (AUROC) 下的区域.
  • 测量灵敏度,特异性,AUROC,信心和解释速度的改进.
  • 这项研究正在进行中,结果正在等待.

结论:

  • 人工智能工具在增强胸部X射线诊断能力方面表现有前途.
  • 需要进一步的研究来验证AI在不同临床环境和专业群体的实用性.
  • 这些发现将有助于将AI整合到日常医疗保健实践中,以改善患者护理.