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相关概念视频

Dialysis01:27

Dialysis

278
Renal failure occurs when the kidneys lose their ability to filter waste products from the blood effectively. It can be classified into two types: acute renal failure (ARF) and chronic renal failure (CRF).
Acute kidney injury develops suddenly and can be caused by pre-renal causes (e.g., hypovolemia, shock), intrinsic renal causes (e.g., acute tubular necrosis), or post-renal causes (e.g., urinary obstruction). In contrast, chronic renal failure progresses gradually over time and is often...
278

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精密透析:利用大数据和人工智能

Ehsan Nobakht1, Wubit Raru1, Sherry Dadgar1

  • 1Division of Renal Diseases and Hypertension, Department of Medicine, George Washington University, Washington, DC.

Kidney medicine
|August 26, 2024
PubMed
概括

人工智能 (AI) 可以通过启用智能,自适应系统来彻底改变透析护理. 这种从反应性到主动性治疗的转变有望改善功能衰竭患者的长期结果.

科学领域:

  • 腎病學和人工智能 (AI)

背景情况:

  • 由于低于最佳的透析,功能衰竭患者的长期死亡率仍然很高.
  • 目前的血液透析方案导致新陈代谢和血液动力学不稳定.
  • 需要创新,适应性透析输送系统.

研究的目的:

  • 探索人工智能在改变透析护理方面的潜力.
  • 将透析从一个反应性的转变为一个主动的,基于精度的方法.
  • 描述透析中的AI组件和应用.

主要方法:

  • 对人工智能系统组件的审查与透析相关.
  • 讨论目前在透析研究中的人工智能应用.
  • 未来智能透析系统的参数概述.

主要成果:

  • 人工智能集成可实现实时数据利用用于机器学习.
  • 人工智能促进了对透析精准医学的范式转变.
  • 从患者数据中学习的透析系统的自我改进潜力.

结论:

  • 人工智能为精密透析提供了一条途径,超越了基于人口的数据.
  • 智能,适应性透析系统可以预测并创建个性化的模型.
关键词:
透析是通过透析进行的.人工智能的人工智能是人工智能.血液透析是血液透析的方法之一.机器学习是机器学习.精密透析的精密透析方法

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  • 这项创新旨在改善患者的治疗结果,并改变透析护理.