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相关概念视频

Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

286
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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Imaging Studies for Cardiovascular System III: X-Ray01:20

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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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Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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相关实验视频

Updated: Jan 17, 2026

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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以人工智能为基础的算法,通过急性胸部计算机断层扫描检测心脏和肺部疾病:算法开发和验证研究协议.

Anne Sophie Overgaard Olesen1, Kristina Miger1, Silas Nyboe Ørting2

  • 1Department of Cardiology, Bispebjerg Hospital, Copenhagen, Denmark.

JMIR research protocols
|September 19, 2025
PubMed
概括

人工智能 (AI) 算法正在开发中,用于分析胸部CT扫描,以检测心脏衰竭等疾病. 这旨在加快呼吸困难 (呼吸不良) 患者的诊断.

关键词:
在这里,我们可以看到AIAIAI.急性护理急性护理急性护理人工智能的人工智能是人工智能.心脏失补偿的情况.计算机断层扫描 (CT) 是一种计算机断层扫描.诊断成像诊断成像的使用.呼吸障碍 呼吸障碍 呼吸障碍机器学习是机器学习.

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相关实验视频

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科学领域:

  • 医学成像分析 医学成像分析
  • 医疗保健中的人工智能
  • 诊断工具 诊断工具

背景情况:

  • 呼吸障碍是老年人住院的常见原因,往往难以诊断.
  • 胸部计算机断层扫描 (CT) 提供了比放射图更好的准确性,但面临着放射科医生的短缺.
  • 人工智能可能会自动化CT扫描分析,以帮助诊断.

研究的目的:

  • 开发和验证人工智能算法,用于对急性胸部CT扫描进行自动分析.
  • 提供立即反肺炎,肺栓塞和心脏衰竭的可能性.
  • 专注于开发人工智能用于心脏失补偿检测.

主要方法:

  • 使用4672次急性胸部CT扫描 (2016-2021) 的回顾性研究.
  • 随机分为培训 (2/3) 和内部验证 (1/3) 套.
  • 人工智能开发涉及交叉验证;验证使用放射性报告作为基础真相.

主要成果:

  • CT数据提取完成;算法开发正在进行中.
  • 对肺堵塞的AI算法开发工作已经完成.
  • 计划进行内部和外部验证,结果预计在2026年.

结论:

  • 预计来自CT扫描的AI驱动的洞察力将改善临床决策.
  • 立即反将使临床医生和呼吸障碍患者受益.
  • 有潜力解决多种疾病的老年人诊断挑战.