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相关概念视频

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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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.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

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The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
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Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

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A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
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Health Literacy01:21

Health Literacy

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Health literacy is an individual's or a community's capacity to comprehend, receive, read, and use relevant healthcare information and services. The World Health Organization (WHO, 2018) defines health literacy as the cognitive and social skills that determine the ability of individuals to gain access to, understand, and use information in ways that promote and maintain good health. As a result, the WHO helps individuals manage long-term health concerns, participate in preventative...
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Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

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Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
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Language and Cognition01:27

Language and Cognition

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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用大型语言模型重新定义数字健康接口.

Fergus Imrie1, Paulius Rauba2, Mihaela van der Schaar2

  • 1Department of Statistics, University of Oxford, Oxford, United Kingdom.

Frontiers in artificial intelligence
|October 13, 2025
PubMed
概括

大型语言模型 (LLM) 可以通过作为外部工具的代理来增强数字健康工具,提高临床可用性和信任. 这种方法解决了LLM的局限性,例如医疗保健应用中的幻觉.

科学领域:

  • 数字健康数字健康
  • 人工智能在医学中的应用
  • 临床信息学 临床信息学

背景情况:

  • 数字健康工具提供了潜在的医疗保健改进,但由于可用性和信任问题而面临采用障碍.
  • 大型语言模型 (LLM) 展示了先进的文本处理能力,表明了广泛的医疗保健应用.
  • 由于潜在的不一致性和无意义的输出 (幻觉),LLM的直接临床使用具有挑战性.

研究的目的:

  • 展示基于LLM的系统,利用外部工具作为数字健康的新型接口.
  • 增强数字医疗工具和人工智能模型的实用性和实际影响.
  • 为了解决临床环境中LLM目前的局限性,例如幻觉.

主要方法:

  • 基于LLM的系统被设计为与外部工具交互的代理.
  • 开发一种新的接口,通过LLMs将临床医生与数字技术联系起来.
  • 基于LLM的接口的定量评估,使用心血管疾病和中风风险预测示例.

主要成果:

  • 基于LLM的系统有效地利用了外部工具,创建了一个功能界面.
  • 在预测心血管疾病和中风风险方面,对表现进行了定量评估.
  • 与传统的数字工具接口相比,新型接口展示了优势.
关键词:
在LLM中,代理商是LLM代理商.心血管疾病心血管疾病数字健康数字健康大型语言模型 (LLM)风险评分风险评分是什么意思

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结论:

  • 基于LLM的代理系统为将先进的人工智能集成到临床工作流程中提供了可行的解决方案.
  • 这些系统提高了数字健康工具的可用性和可信度.
  • 该方法减轻了LLM特定的挑战,如幻觉,为更广泛的AI在医疗保健中的采用铺平了道路.