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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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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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人工智能-在椎手术中从机器学习和深度学习中期望什么

Robert Vogel1, Björn Mück1

  • 1Klinikum Kempten - Klinikverbund Allgäu, Kempten, Germany.

Journal of abdominal wall surgery : JAWS
|September 23, 2024
PubMed
概括

人工智能 (AI),包括机器学习 (ML) 和深度学习 (DL),正在改变手术. DL模型在预测手术复杂性和结果方面表现有前途,提高了患者的护理.

科学领域:

  • * 外科创新的创新
  • * 医学信息学 医学信息学
  • * 计算生物学 * 计算生物学

背景情况:

  • *人工智能 (AI) 包含机器学习 (ML) 和深度学习 (DL),利用神经网络来分析复杂的数据.
  • * 深度学习 (DL) 在识别图像和视频等原始数据中的模式方面表现出色,比传统的ML需要更少的人类监督.
  • *人工智能在外科手术中的应用正在迅速发展,在修复等专业领域具有显著的潜力.

研究的目的:

  • * 审查AI,ML和DL在手术中的整合和影响.
  • *以突出利用人工智能预测手术复杂性和患者结果的进步.
  • *讨论人工智能在手术中的当前好处和局限性.

主要方法:

  • *对近期同行评审出版物的系统文献综述.
  • * 在PubMed和谷歌学者数据库中进行的搜索.
  • *专注于手术前的规划,手术内的技术,以及在手术中的术后管理.

主要成果:

  • * 深度学习 (DL) 模型在预测腹壁重建 (AWR) 复杂性方面取得了重大进展.
  • *人工智能应用显示出预测手术中的各种术后结果的潜力.
  • * 该审查确定了当前AI技术在外科领域的好处和局限性.
关键词:
在这里,我们可以看到AIAIAI.深度学习是一种深度学习.椎间板手术 椎间板手术是什么机器学习是机器学习.神经网络的神经网络的神经网络

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结论:

  • *人工智能,特别是DL,为改善手术规划和预测结果提供了有前途的工具.
  • *建议进行进一步的研究和临床应用,以充分实现AI在这个外科领域的潜力.
  • *人工智能的整合代表了手术实践和患者管理的重大演变.