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相关概念视频

Issues And Trends In Healthcare Delivery System01:29

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
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IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
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Imaging Studies III: Computed Tomography01:27

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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Imaging Studies VII: Vascular Imaging01:19

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传感器,信号和成像信息学:从2023年开始的最佳贡献

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科学领域:

  • 医疗信息学 医疗信息学
  • 生物医学工程 生物医学工程
  • 数字健康数字健康

背景情况:

  • 传感器,信号和成像信息学 (SSII) 的领域正在迅速发展.
  • 识别关键的研究进展对于理解当前趋势和未来方向至关重要.

研究的目的:

  • 识别和突出显示SSII领域中在2023年发表的最重要的研究论文.
  • 确定传感器,信号和成像信息学的新兴趋势和前沿贡献.

主要方法:

  • 在Scopus和PubMed上使用相关的医学主题标题 (MeSH) 术语和关键词进行了全面的文献搜索.
  • 论文最初是根据标题和摘要评估使用3分利克特级别进行选,全文审查所需的最低分数为8分.
  • 排名前14名的论文经过了外部审稿人和国际医学信息学协会 (IMIA) 年鉴编辑的严格评估,最终选择了四个最佳贡献.

主要成果:

  • 在最初识别的643篇论文中,58篇符合纳入标准.
  • 由IMIA年鉴编辑委员会批准的四篇优秀论文的最终选择.
  • 选出的论文涵盖无传感器自由手3D超声波重建,基于视频的脉冲率估计,以及基于深度学习的图像处理和分析.

结论:

  • 该研究强调了传感器,信号和成像信息学研究的动态性质.
  • 顶级论文展示了图像处理和分析中的高级深度学习应用.
  • 研究重点从传感器技术发展向生物信号和图像分析明显转变.