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相关概念视频

Apparent Weight01:09

Apparent Weight

True weight is the measure of the gravitational force acting on an object. However, if the object accelerates, its measured weight is different from its true weight. Similar observations can be made when the object is submerged in water. An object's weight in water is its apparent weight, which is equal to the difference between its true weight and the buoyant forces.
Consider a person standing on a bathroom scale inside an elevator. If the scale is accurate at rest, its reading equals the...

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相关实验视频

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Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
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一个基于人工智能的新型移动应用程序,用于儿童体重估计.

Sungwoo Choi1, Sangun Nah1, Ji Eun Moon2

  • 1Department of Emergency Medicine, Soonchunhyang University Bucheon Hospital, Bucheon 14584, Republic of Korea.

Journal of clinical medicine
|May 14, 2025
PubMed
概括
此摘要是机器生成的。

一个新的AI摄像机应用程序 (PAICam) 使用姿势估计来估计儿科体重,在紧急情况下显示的准确性与Broselow磁带相当. 该工具提供了一个潜在的替代方案,用于在关键情况下快速,可靠的重量评估.

关键词:
人工智能的人工智能是人工智能.身体重量 体重 体重深度学习是一种深度学习.儿科 儿科 儿科 儿科

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科学领域:

  • 医疗技术 医疗技术 医学技术
  • 医疗保健中的人工智能
  • 儿科急救医学 儿科急救医学

背景情况:

  • 准确的儿科体重估计对于紧急药物剂量至关重要.
  • 传统的以长度为基础的工具在有限的位置上可能不准确.
  • 需要新的人工智能驱动的方法来提高准确性和可访问性.

研究的目的:

  • 开发和评估使用人类姿势估计和深度神经网络的体重预测应用程序 (PAICam).
  • 为了比较PAICam与Broselow磁带的准确性,用于儿科体重估计.
  • 评估PAICam在紧急情况下的临床实用性.

主要方法:

  • 前性横截面研究 (2023年6月至2024年5月),包括1335名儿科患者 (1个月至12岁).
  • 使用平均百分比误差 (MPE),平均绝对百分比误差 (MAPE) 和根平均平方百分比误差 (RMSPE) 评估重量估计准确性.
  • PAICam和Broselow磁带 (BT) 的性能比较,包括10% (PW10) 和20% (PW20) 内的重量估计的百分比.

主要成果:

  • 在所有错误指标 (MPE,MAPE,RMSPE) 中,PAICam和BT表现相似.
  • 观察到准确的重量估计的百分比相似:PW10 (52.6% BT对比51.2%PAICam) 和PW20 (79.1% BT对比77.7%PAICam).
  • 在两种方法的实际和预测权重之间发现了强烈的一致性 (ICC值为0.959对比0.955).

结论:

  • 利用深度学习和姿势估计,PAICam是儿科体重估计的可行替代方案.
  • 这种由人工智能驱动的工具的准确性与已知的Broselow磁带相提并论.
  • 在紧急情况下,PAICam显示了改善儿科体重评估的潜力.