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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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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.
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会议介绍:临床医学中的人工智能和机器学习 弥合或分离模型智能和人类专业知识

Fateme Nateghi Haredasht1, Joseph D Romano2, Brett K Beaulieu-Jones3

  • 1Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA, fnateghi@stanford.edu.

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此摘要是机器生成的。

人工智能 (AI) 正在临床医学中取得进展,大型语言模型 (LLM) 改善了临床摘要和患者沟通等任务. 目前正在进行的研究重点是预测建模,不确定性管理和医疗保健中的真实世界AI部署.

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科学领域:

  • 临床医学 临床医学
  • 人工智能的人工智能
  • 医疗信息学 医疗信息学

背景情况:

  • 人工智能 (AI) 技术越来越多地融入临床医学.
  • 大型语言模型 (LLM) 和多式联络系统正在各种医疗领域应用,包括通信,成像和预测分析.

研究的目的:

  • 审查人工智能的进步和应用,特别是临床医学中的LLM.
  • 突出临床摘要,患者信息和决策支持等领域的进展.
  • 确定医疗保健人工智能的持续挑战和未来方向.

主要方法:

  • 综述最近在生成和检索增强人工智能方法方面的进展.
  • 分析医学成像,视觉和自发语音处理领域的新基准.
  • 检查以因果关系和临床事件为重点的预测建模技术.
  • 评估在不确定性管理和可解释人工智能方面的方法贡献.

主要成果:

  • 在临床摘要,患者信息和决策支持系统中提高了准确性和上下文依据.
  • 医疗成像和语音分析的人工智能能力取得显著进展,并认识到剩余的挑战.
  • 预测建模的进步,以了解疾病轨迹和临床事件.
  • 开发人工智能评估和治理框架,以弥合研究和临床实践之间的差距.

结论:

  • 人工智能,特别是LLM,显示出通过改进的沟通和分析来增强临床医学的巨大潜力.
  • 解决人工智能评估,治理和现实世界部署方面的挑战对于成功融入医疗保健至关重要.
  • 预测建模和不确定性管理方面的持续研究将进一步完善AI在临床决策中的作用.