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相关概念视频

X-ray Imaging01:24

X-ray Imaging

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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...
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Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

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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...
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Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

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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...
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Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

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Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
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Data Reporting and Recording01:24

Data Reporting and Recording

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Radiological investigations are paramount in the diagnosis and management of various pulmonary diseases. Two essential investigations are the Pulmonary Angiogram and the Positron Emission Tomography (PET) Scan.
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相关实验视频

Updated: May 20, 2025

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
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放射科医生和数据:我们是否增加了价值,或者数据只是数据?

Elliot K Fishman1, Philippe Soyer2, David B Hellmann3

  • 1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD 21287, United States of America.

Clinical imaging
|April 19, 2025
PubMed
概括
此摘要是机器生成的。

高质量的数据对于放射学中的人工智能至关重要. 医生参与数据策划和解释对于开发临床相关的人工智能模型至关重要,将数据视为公共利益.

关键词:
人工智能的人工智能是人工智能.数据 数据 数据 数据 数据团队科学 团队科学

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科学领域:

  • 放射学 放射学是一门学科.
  • 人工智能的人工智能
  • 医学数据科学 医学数据科学

背景情况:

  • 放射学中的人工智能 (AI) 需要大量高质量的数据集.
  • 数据的所有权和临床数据的二次使用是持续辩论的主题.

研究的目的:

  • 为放射学中临床数据的二次使用提出框架.AI开发.
  • 强调医生在创建临床相关的人工智能模型中的投入价值.

主要方法:

  • 概念框架的发展.
  • 关于放射学中的数据所有权和人工智能的文献综述.
  • 数据作为公共利益的论证.

主要成果:

  • 临床数据,当二次使用时,应该被视为公共利益.
  • 医生的专业知识显著提高了人工智能数据的价值.
  • 临床相关的AI模型依赖于精选和解释的数据.

结论:

  • 医生投入对于开发有效的放射学AI是不可或缺的.
  • 将临床数据视为公共利益,有助于人工智能的发展.
  • 解决数据所有权是释放人工智能在医疗保健中的潜力的关键.