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相关概念视频

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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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...
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Introduction to Learning01:18

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Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
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临床医生的人工智能指南:机器学习的技术基础

Andrew W Schroeder1, Zachary Tran2, Kevin Sexton3

  • 1Department of Surgery, Carilion Clinic, 1906 Belleview Avenue, Roanoke, VA 24014, USA.

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概括

这篇文章解释了临床医生的人工智能 (AI),涵盖机器学习概念,培训和评估. 它旨在帮助医疗保健专业人员安全地将AI工具集成到患者护理中.

关键词:
人工智能的人工智能是人工智能.临床决策支持 临床决策支持可解释的人工智能机器学习是机器学习.医学成像医学成像模型验证模型验证

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科学领域:

  • 临床信息学是一种临床信息学.
  • 生物医学工程 生物医学工程
  • 健康数据科学健康数据科学

背景情况:

  • 人工智能 (AI) 在临床环境中越来越多地用于医疗成像分析和临床决策支持等任务.
  • 许多医疗保健专业人员在AI系统构建,培训和评估的基本原则方面存在知识差距.
  • 了解AI对于安全有效的临床整合至关重要.

研究的目的:

  • 提出一个技术框架,详细说明与临床AI相关的核心机器学习概念.
  • 为医疗保健专业人员解密人工智能开发和评估.
  • 授权临床医生批判性地评估和安全地在患者护理中实施AI工具.

主要方法:

  • 解释传统的机器学习算法.
  • 关于深度神经网络架构的概述.
  • 讨论各种数据模式,培训范式,评估指标和模型解释能力技术.

主要成果:

  • 提供了对人工智能构建和功能的基本理解.
  • 概述了评估AI工具的关键原则.
  • 突出了临床应用的实际考虑.

结论:

  • 临床医生需要对人工智能基础有很好的理解,才能有效地利用这些技术.
  • 这一框架使医疗保健专业人员能够批判性地评估AI工具及其局限性.
  • 将人工智能安全有效地整合到患者护理中,只要有正确的理解,就能实现.