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Rheumatic Heart Disease III: Medical Management01:21

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Rheumatic heart disease (RHD) management can be divided into two main strategies: prevention and long-term management.Primary PreventionPrimary prevention focuses on timely diagnosis and management of group A streptococcal pharyngitis to prevent acute rheumatic fever. The most widely used antibiotic for treating this condition is intramuscular benzathine penicillin G.Acute Rheumatic Fever TreatmentThe primary treatment goal for a patient diagnosed with acute rheumatic fever is to suppress the...
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Rheumatic heart disease or RHD is a chronic condition that results from rheumatic fever, causing permanent damage to the heart valves.Etiology and Risk FactorsIt primarily arises from rheumatic fever, an inflammatory disease that can develop after untreated or inadequately treated group A streptococcal (GAS) pharyngitis. Streptococcus spreads through direct contact with oral or respiratory secretions. While the bacteria are the causative agents, factors like malnutrition, overcrowding, poor...
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Spirochetes, unique bacteria in the phylum Spirochaetes, are gram-negative, motile, tightly coiled, slender, and flexible. They inhabit aquatic sediments and animals, with some causing diseases like syphilis. Spirochetes are classified into eight genera based on habitat, pathogenicity, phylogeny, and characteristics.Their distinctive motility arises from endoflagella, located within the cell’s periplasm. These endoflagella anchor at the cell poles and extend along the cell length, encased...
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Antibiotic resistance is a major public health concern that arises when bacteria evolve mechanisms to withstand the effects of antibiotic treatments. This resistance can be intrinsic, acquired through genetic mutations, or transferred between bacteria via horizontal gene transfer. The development of antibiotic resistance poses significant challenges in treating bacterial infections and necessitates ongoing research to develop new therapeutic strategies.Intrinsic resistance occurs when bacterial...
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Coryneform bacteria are gram-positive, aerobic, nonmotile rods that exhibit irregular, club-shaped, or V-shaped arrangements. Their V-shape results from snapping division, where the inner cell wall layer forms the cross-wall, while the outer layer remains intact until it ruptures on one side, causing the daughter cells to bend away.The primary genera are Corynebacterium and Arthrobacter. Corynebacterium includes diverse species, ranging from saprophytes to pathogens like Corynebacterium...
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使用Origami照片预测年龄和视觉运动集成:深度学习研究

Chien-Yu Huang1,2, Yen-Ting Yu1,3, Kuan-Lin Chen3,4,5

  • 1School of Occupational Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan.

JMIR formative research
|January 13, 2025
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概括

人工智能 (AI) 可以预测儿童的年龄和视觉运动整合 (VMI) 发展从原木创作. 这种人工智能方法为治疗师评估儿童发育提供了客观的见解.

关键词:
活动绩效活动绩效.人工智能的人工智能是人工智能.儿童发展儿童的发展.儿童发展查儿童发展查孩子们的孩子们的孩子们的孩子们.深度学习是一种深度学习.发展状态发展状态.奥里加米是指原始的.视觉运动整合 视觉运动整合

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科学领域:

  • 发育儿科 发育儿科
  • 医疗保健中的人工智能
  • 儿童心理学 儿童心理学

背景情况:

  • 奥里加米是一个受欢迎的,吸引儿童的活动,提供了作为临床评估工具的潜力.
  • 目前用于评估原木的主观方法限制了其在评估儿童年龄和视觉运动整合 (VMI) 中的有用性.
  • 缺乏实证证据支持使用原创产品客观地确定发育状态.

研究的目的:

  • 将人工智能 (AI) 应用于原木产品,以预测儿童的年龄.
  • 预测儿童视觉运动整合 (VMI) 发展,包括标准化得分和发育状态 (典型,边界,延迟).
  • 用各种摄影角度的图像来评估AI模型的性能.

主要方法:

  • 515名2-6岁的孩子创作了8个角度拍摄的原木狗.
  • 人工智能模型 (ResNet-50,XGBoost,多层感知器) 被训练来预测年龄和VMIz分数.
  • 视觉运动整合的Beery-Buktenica发展测试,第6版,评估了VMI水平.

主要成果:

  • 人工智能模型的R2值达到0.73的年龄预测和0.66的VMI预测.
  • 预测VMI发育状况的准确性在71%至76%之间.
  • 预测和实际z分数之间观察到很高的相关性 (年龄:0.84-0.85,VMI:0.77-0.81).

结论:

  • 人工智能显示出对客观预测儿童发育进展的巨大潜力.
  • 人工智能驱动的洞察力可以增强治疗师对儿童在活动中的表现的解释.
  • 通过人工智能分析的Origami显示出作为发展评估工具的前景.