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Issues And Trends In Healthcare Delivery System01:29

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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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Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
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放射学中的代理人工智能:从大型语言模型的演变到未来的临床整合

Bardia Khosravi1,2, Pouria Rouzrokh1,2, Tugba Akinci D'Antonoli3,4

  • 1Department of Radiology and Biomedical Imaging, Yale University, New Haven, Conn.

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概括
此摘要是机器生成的。

自主代理系统超出了大型语言模型,通过整合记忆,知识检索和计算机使用,提供积极的临床援助. 这些人工智能系统可以协调复杂的临床工作流程,改变医疗保健的提供.

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科学领域:

  • 人工智能在医学中的应用
  • 临床工作流程自动化
  • 医疗保健技术转型 医疗保健技术转型

背景情况:

  • 基础模型,特别是大型语言模型,已经启动了医疗保健转型.
  • 该领域正在向主动,以目标为导向的临床援助的自主代理系统转变,超越被动信息检索.

研究的目的:

  • 探索从被动信息检索到主动,以目标为导向的临床辅助的范式转变,使用自主代理系统.
  • 概述医疗保健中代理人工智能的能力,工作流程和实施考虑因素.

主要方法:

  • 代理人工智能系统利用持久记忆,医疗知识的检索增强生成和计算机使用功能.
  • 多代理系统展示了整个放射学生命周期的任务协调工作流程 (层次,协作,顺序).
  • 为逐步部署和安全提出了一个四阶段的实施路线图.

主要成果:

  • 代理人工智能系统可以自主协调整个临床工作流程,从预先获取到初步报告生成.
  • 在复杂的任务中,与单个代理方法相比,多代理系统显示出更高的性能.
  • 成功部署需要解决复杂性,经济可持续性,网络安全,偏见和治理问题.

结论:

  • 代理人工智能代表了一项重大进步,能够重塑放射学实践范式.
  • 实施需要在确定性工作流程中仔细管理概率模型,并确保人类监督.
  • 未来的成功取决于解决利益相关者的责任,并将人工智能能力与改善患者结果的临床责任性相结合.