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相关概念视频

Functional Classification of Joints01:09

Functional Classification of Joints

3.7K
Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
3.7K
Structural Classification of Joints01:20

Structural Classification of Joints

3.0K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
3.0K
Classification of Bones01:18

Classification of Bones

4.7K
The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The...
4.7K
Bones of the Lower Limb: Femur and Patella01:16

Bones of the Lower Limb: Femur and Patella

2.0K
The femur is the body's longest and strongest bone spanning the thigh region. Its head articulates with the acetabulum of the hip bone to form the hip joint. A minor indentation on the medial side of the femoral head, called the fovea capitis, serves as the site of attachment for the ligament of the head of the femur. This weak ligament spans the femur and acetabulum and supports the hip joint. The narrowed region below the head is the neck of the femur. The inclination angle between the...
2.0K
Knee Joint01:23

Knee Joint

1.3K
The knee joint is the most complicated joint in the body. It consists of three articulations– two tibiofemoral and one patellofemoral. As is characteristic of synovial joints, the knee joint has a thin articular capsule that partially surrounds this joint cavity. Additionally, several ligaments, muscles, and cartilaginous structures support the movement of the knee.
A total of seven ligaments support the knee joint. The patellar ligament, which is also attached to the quadriceps femoris...
1.3K
Bones of the Upper Limb: Humerus01:19

Bones of the Upper Limb: Humerus

2.7K
The upper limb consists of the arm, forearm, wrist, and hand bones. The humerus is the single bone of the upper arm region. Proximally, it has a large, spherical, smooth head that articulates with the glenoid cavity of the scapula to form the glenohumeral or shoulder joint. The margin of the head is the anatomical neck, a residual epiphyseal plate. Laterally it extends to form bony projections called the greater tubercle and the lesser tubercle. Next to the tubercles is the surgical neck, a...
2.7K

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相关实验视频

Updated: May 12, 2025

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
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In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

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使用多任务深度学习模型来描述关节形态.

Bardia Khosravi1,2, Lainey G Bukowiec1, John P Mickley1

  • 1Department of Orthopedic Surgery, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.

Journal of hip preservation surgery
|May 7, 2025
PubMed
概括
此摘要是机器生成的。

一个新的机器学习模型准确地检测关节异常,如张症和股骨形. 这种深度学习方法显示了改善部形态病理的诊断的前景.

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The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report
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Author Spotlight: A Novel 3D-Printed Titanium Implant for Minimally Invasive Treatment of Hip Dysplasia in Young Dogs
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In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
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The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report
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The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report

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Author Spotlight: A Novel 3D-Printed Titanium Implant for Minimally Invasive Treatment of Hip Dysplasia in Young Dogs
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科学领域:

  • 人工智能在医学中的应用
  • 医学成像分析 医学成像分析
  • 骨科诊断 骨科诊断 骨科诊断

背景情况:

  • 深度学习 (DL) 显著推进了医疗成像分析,用于分类病理病理的疾病.
  • 有限的精确和高效的机器学习 (ML) 算法用于诊断部形态病理,如部发育性发育不良 (DDH) 和股骨 (FAI).
  • 准确诊断这些情况对于有效的患者管理和治疗规划至关重要.

研究的目的:

  • 评估使用YOLOv5和ConvNeXt-Tiny架构的新型ML模型的性能.
  • 预测与DDH和FAI相关的关键形态特征,包括凸骨形,石脊柱标志和异形外观.
  • 评估模型的诊断准确性,并将其与骨科外科医生之间的评分器间可靠性进行比较.

主要方法:

  • 开发和实施一个集成YOLOv5和ConvNeXt-Tiny架构的新型ML模型.
  • 在部成像数据集上对模型进行培训和验证,以确定特定的形态异常.
  • 使用准确度指标和接收器操作曲线下的面积 (AUC) 评估模型性能. 使用Gwet的AC1统计数据进行了评估.

主要成果:

  • ML模型在检测特定的部病理方面取得了很高的准确性:78.0%的部形,87.2%的脊柱缺陷,和76.6%的发育不良.
  • 该模型表现出强大的分辨能力,AUC值为0.80的凸轮形,0.89的石脊柱标志,0.80的发育不良,和0.81所有异常的结合.
  • 外科医生之间的评价者间的一致性是显著的功能失调 (0.83) 和所有异常 (0.88),和中等的肌脊柱标志 (0.75) 和凸骨形 (0.61).

结论:

  • 新的ML模型显示了准确识别形态部异常的巨大潜力.
  • 这种深度学习方法为增强DDH和FAI等疾病的诊断工作提供了一个有希望的工具.
  • 该模型的性能表明,它可以帮助临床医生有效和可靠地诊断部病理.