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相关概念视频

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

464
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
464

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相关实验视频

Updated: Jun 23, 2025

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients
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基于网络的人工智能预测中风后的认知障碍:一项多中心研究

Faizul Hasan1, Muhammad Solihuddin Muhtar2, Dean Wu3

  • 1Faculty of Nursing, Chulalongkorn University, Boromarajonani Srisataphat Building, 12th Floor, Rama1 Road, Wang Mai, Pathum Wan, Bangkok 10330, Thailand; School of Nursing, College of Nursing, Taipei Medical University, No. 250, Wuxing St., Xinyi Dist., Taipei City 110, Taiwan.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
|June 22, 2024
PubMed
概括

这项研究开发了一种可靠的AI工具,用于预测中风后认知障碍 (PSCI). 基于网络的模型提供了准确的预测,有助于在中风幸存者中早期发现和管理PSCI.

关键词:
人工智能的人工智能是人工智能.机器学习是机器学习.脑卒中后认知障碍 脑卒中后认知障碍一次性中风,中风.

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科学领域:

  • 神经学 神经学
  • 人工智能的人工智能
  • 医疗信息学 医疗信息学

背景情况:

  • 脑卒中后认知障碍 (PSCI) 是中风后的一个常见并发症.
  • 目前,用于PSCI预测的准确和可解释的机器学习模型有限.
  • 早期预测PSCI对于及时干预和管理至关重要.

研究的目的:

  • 开发和验证基于网络的人工智能 (AI) 工具,用于预测PSCI.
  • 为PSCI风险评估提供准确和可解释的模型.
  • 为医疗保健从业人员创建一个用户友好的界面.

主要方法:

  • 追溯队列研究的设计.
  • 使用中风患者数据 (2004-2017年) 开发和验证基于网络的预测模型.
  • 使用准确度,AUC,回忆,精度和F1分数来评估模型性能.

主要成果:

  • 该模型实现了高性能指标,包括初始阶段的精度为0.8793和AUC为0.9200.
  • 外部验证显示性能有所改善,精度为0.9039,AUC为0.9094.
  • 最终的AI模型可以通过基于Web的计算器 (https://psci-calculator.my.id/) 访问.

结论:

  • 开发的AI工具为早期PSCI预测提供了一个用户友好的界面.
  • 该模型是可靠的,可以指导未来的临床AI应用研究.
  • 这个工具可以帮助医疗从业人员管理患有PSCI风险的患者.