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相关概念视频

Spinal Cord: Cross-sectional Anatomy01:16

Spinal Cord: Cross-sectional Anatomy

4.1K
The cross-sectional anatomy of the spinal cord offers a detailed view of its complex structure and function within the central nervous system. At the core of the spinal cord lies the gray matter, characterized by its butterfly or "H"-shaped appearance in cross-section. This central region is enveloped by white matter, with the overall structure divided into symmetrical halves by the dorsal median sulcus and the ventral median fissure.
Gray Matter and its Components
Central to the gray matter is...
4.1K
Classification of Illness01:17

Classification of Illness

8.5K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
8.5K
Seizures: Classification01:13

Seizures: Classification

1.3K
Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:
1.3K
Spinal Cord: Information Processing01:10

Spinal Cord: Information Processing

3.0K
The spinal cord is an integral hub for motor and sensory information that enables the brain to communicate with the peripheral nervous system (PNS). This communication consists of relaying sensory data and transmission of motor commands.
Sensory Information Processing
Sensory information processing begins at the sensory receptors located in the skin and other tissues, which detect somatic sensory stimuli such as touch, temperature, or pain. These receptors function as catalysts, initiating...
3.0K

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相关实验视频

Updated: Jan 9, 2026

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
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DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

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在双视图视频上使用深度学习来分类脊柱疾病.

Tsuguhiro Tsukumo, Kaixu Chen, Tomoyuki Asada

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括

    这项研究引入了一种新的AI方法,使用双视图步行视频来更好地诊断成人脊柱形 (ASD). 该方法增强了定量步态分析,提高了这种情况的诊断准确性.

    相关实验视频

    Last Updated: Jan 9, 2026

    DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
    04:17

    DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

    Published on: May 10, 2024

    1.4K

    科学领域:

    • 生物力学 生物力学
    • 医疗成像医学成像
    • 人工智能的人工智能

    背景情况:

    • 成年脊柱形 (ASD) 呈现出类似平衡障碍的症状,影响患者的运动.
    • 目前用于ASD的步态观测方法缺乏标准化的定量评估协议.
    • 准确诊断ASD对于有效的治疗和管理至关重要.

    研究的目的:

    • 利用人工智能开发和验证一种新的方法来区分ASD与非ASD.
    • 提高ASD患者的步态动态的定量评估.
    • 为了提高成人脊柱形的步态分析的诊断准确性.

    主要方法:

    • 利用从两个角度捕捉的步态视频训练的神经网络.
    • 综合的时空步态动态,用于全面的步态评估.
    • 采用双流3D卷积神经网络 (CNN) 架构进行步态分析.

    主要成果:

    • 与单个视角模型相比,双视角模型显示了对分类准确性的适度增强.
    • 在F1得分上实现了显著的10%的增加,达到71.86%,表明诊断性能有所改善.
    • 证明了整合多视图步态数据用于ASD检测的有效性.

    结论:

    • 整合双视角视频显著改善了成人脊柱形的步态分析.
    • 拟议的人工智能驱动方法为ASD诊断提供了更全面,更定量的方法.
    • 对视频融合技术的进一步研究可以进一步提高ASD的诊断能力.