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神经瘤学中的人工智能

Vihang Nakhate1,2, L Nicolas Gonzalez Castro1,3,4

  • 1Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.

Frontiers in neuroscience
|January 1, 2024
PubMed
概括

人工智能 (AI) 正在通过提高脑瘤诊断和治疗来彻底改变神经瘤学. 本概述探讨了神经病理学和神经放射学当前的人工智能应用,指导未来的临床整合.

关键词:
人工智能的人工智能是人工智能.在IDH质瘤 mut mut.大脑瘤是个大脑瘤质母细胞瘤 (glioblastoma) 是一种质瘤 质瘤 是一种神经瘤学神经瘤学

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科学领域:

  • 神经学 神经学
  • 计算机科学 计算机科学
  • 在瘤学瘤学.

背景情况:

  • 人工智能 (AI) 涉及使用计算机算法来执行传统上需要人类智能的任务.
  • 最近的进展加速了各个科学领域的AI采用.
  • 神经瘤学越来越多地利用人工智能进行脑瘤研究和临床实践.

研究的目的:

  • 提供当前人工智能技术在脑瘤神经病理学和神经放射学中的概述.
  • 突出这些人工智能应用的好处和局限性.
  • 为评估用于临床整合的新人工智能工具提供指导.

主要方法:

  • 审查现有的AI技术应用于神经瘤学.
  • 对人工智能在神经病理学和脑瘤神经放射学中的应用进行分析.
  • 讨论人工智能工具的好处,局限性和评估建议.

主要成果:

  • 人工智能正在迅速融入神经瘤学,影响大脑瘤分析.
  • 目前的AI工具提供了显著的好处,但在实践中也存在局限性.
  • 系统的评估对于有效的临床工作流集成至关重要.

结论:

  • 人工智能已经准备好改变神经瘤学实践,特别是在脑瘤诊断方面.
  • 对临床医生来说,了解人工智能的能力和限制是必不可少的.
  • 为关键评估神经瘤学中人工智能工具提供了建议.