Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Emerging Adulthood01:27

Emerging Adulthood

656
Jeffrey Arnett's concept of emerging adulthood offers a framework to understand the unique developmental stage between adolescence and full-fledged adulthood, generally from ages 18 to 25. This period is marked by extensive exploration and shifts in identity, relationships, and career choices, a process known in psychology as role experimentation. Emerging adulthood reflects the evolving cultural expectations surrounding adulthood and the dynamic process of personal transformation during...
656
Self-Help Support Groups01:28

Self-Help Support Groups

336
Self-help support groups are voluntary, community-based organizations that provide a platform for individuals with shared concerns to exchange support, insights, and practical strategies for coping with life challenges. Typically led by group members or paraprofessionals, these groups form a cornerstone of mental health care, especially in reaching populations that are underserved by traditional healthcare systems.
Accessibility and Cost-Effectiveness
One of the primary strengths of self-help...
336
Decision Making01:20

Decision Making

944
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
944
Introduction Cardiac Emergencies01:30

Introduction Cardiac Emergencies

321
Cardiac emergencies are critical situations involving the heart that require immediate medical intervention to prevent severe complications or death. These emergencies often arise from underlying heart conditions that impair the heart's ability to function correctly.Types of Cardiac EmergenciesThe most common types of cardiac emergencies include Acute Coronary Syndrome (ACS), myocardial infarction (MI), cardiac arrest, and heart failure.Acute Coronary Syndrome (ACS)Acute Coronary Syndrome (ACS)...
321
Support Reactions01:30

Support Reactions

1.5K
A coplanar force system refers to a set of forces that all lie in the same plane and are subject to different reactions between the point of contact and the supports. Understanding how different types of supports affect coplanar forces is crucial for designing safe and reliable structures that can withstand external loads.
The purpose of the supports is to prevent the translational motion of the system by applying an equal and opposite force and to prevent the system's rotation by applying...
1.5K
Support Reactions in Three Dimensions01:27

Support Reactions in Three Dimensions

1.6K
Support reactions in three dimensions help maintain the stability and equilibrium of various structures and systems. These reactions prevent the system from translating and rotating, ensuring the design can withstand external forces and perform its intended function efficiently and safely. Some of the supports providing support reactions in three dimensions are discussed below:
Ball and Socket Joint is one of the supports allowing free rotation about any axis. This freedom of rotation is...
1.6K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

AI Algorithm to Predict Acute Coronary Syndrome in Prehospital Cardiac Care: Retrospective Cohort Study.

JMIR cardio·2023
Same author

Prediction of the Values of CRP, eGFR, and Hemoglobin in the Follow-Up of Renal Cell Carcinoma Patients after (Cryo)Surgery Using Machine Learning Algorithms.

The journal of applied laboratory medicine·2022
Same author

A Diet Rich in Fish Oil and Leucine Ameliorates Hypercalcemia in Tumour-Induced Cachectic Mice.

International journal of molecular sciences·2019
查看所有相关文章

相关实验视频

Updated: Jan 28, 2026

Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
04:05

Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis

Published on: June 30, 2023

2.8K

评估紧急部门的人工智能决策支持系统:回顾性研究

Yvette Van Der Haas1,2, Wiesje Roskamp2, Lidwina Elisabeth Maria Chang-Willems2

  • 1Eindhoven University of Technology, Eindhoven, The Netherlands.

JMIR AI
|January 26, 2026
PubMed
概括

一个人工智能 (AI) 模型显著减少了急诊室 (ED) 入院决策时间,平均为111分钟. 这种人工智能工具在缓解ED过度拥挤和改善患者护理方面表现有前途.

关键词:
在这里,我们可以看到AIAIAI.人工智能的人工智能是人工智能.临床影响 临床影响紧急情况部门的急救部门.医疗保健 医疗保健 医疗保健

更多相关视频

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

17.6K
Expired CO2 Measurement in Intubated or Spontaneously Breathing Patients from the Emergency Department
07:52

Expired CO2 Measurement in Intubated or Spontaneously Breathing Patients from the Emergency Department

Published on: January 29, 2011

17.0K

相关实验视频

Last Updated: Jan 28, 2026

Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
04:05

Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis

Published on: June 30, 2023

2.8K
Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

17.6K
Expired CO2 Measurement in Intubated or Spontaneously Breathing Patients from the Emergency Department
07:52

Expired CO2 Measurement in Intubated or Spontaneously Breathing Patients from the Emergency Department

Published on: January 29, 2011

17.0K

科学领域:

  • 医疗信息学 医疗信息学
  • 临床决策支持系统 临床决策支持系统
  • 医疗保健中的人工智能

背景情况:

  • 紧急诊所 (ED) 过度拥挤是一个关键问题,与医疗错误的增加,患者长期逗留和较高的死亡率有关.
  • 人工智能 (AI) 决策支持工具为优化ED患者流动和决策提供了潜在的解决方案.
  • 现有的研究往往忽视了人工智能在医疗保健环境中的临床相关性和实际实施.

研究的目的:

  • 评估AI模型在预测ED患者入院的临床实用性.
  • 评估人工智能的潜力,以减少做入学决策所需的时间.
  • 调查人工智能对缓解ED过度拥挤和改善患者护理的影响.

主要方法:

  • 从圣安东尼乌斯医院 (2018年1月至2023年9月) 进行了154,347次匿名患者访问的回顾性分析.
  • 开发和测试一个极端梯度增强人工智能模型来预测医院入院决策.
  • 使用分成10分钟间隔的数据对AI模型进行评估,以模拟现实世界的适用性并测量决策时间的减少.

主要成果:

  • 人工智能模型实现了0.78的精度和0.73.7的回忆.
  • 在AI正确预测入院的患者中,观察到平均节省时间为111分钟 (IQR 59-169).
  • 亚组分析表明,老年患者和肺病学等专业的患者节省了更多的时间,在某些情况下,每名患者节省了高达90分钟的时间.

结论:

  • 开发的AI模型显示了减少ED入学决策时间的巨大潜力,从而减轻过度拥挤.
  • 人工智能工具提供一致的,加权的入学建议,即使在高ED压力时期.
  • 建议进行进一步的前性研究,以验证现实世界的影响,并在各种临床环境中优化AI模型.