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人工智能在诊断病理学中的应用.

Saba Shafi1, Anil V Parwani2

  • 1Department of Pathology, The Ohio State University Wexner Medical Center, E409 Doan Hall, 410 West 10th Ave, Columbus, OH, 43210, USA.

Diagnostic pathology
|October 2, 2023
PubMed
概括
此摘要是机器生成的。

数字病理学 (DP) 和人工智能 (AI) 正在改变癌症诊断. 这些技术提高了准确性和速度,为精准医学和先进病理学工作流程铺平了道路.

关键词:
算法算法是一种算法.人工智能的人工智能是人工智能.未来的未来 未来的未来 未来的未来病理学 病理学 病理学

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科学领域:

  • 在瘤学瘤学.
  • 病理学 病理学 病理学
  • 医疗成像医学成像

背景情况:

  • 数字病理学 (DP) 正用先进的工具彻底改变癌症诊断.
  • 人工智能 (AI) 算法和数字成像正在增强计算基因病理学.
  • 这些进展对于精准医学在瘤学的进步至关重要.

研究的目的:

  • 审查AI在临床病理学中的应用中的里程碑和里程碑试验.
  • 突出数字病理学工具与全幻灯片成像 (WSI) 的整合,以提供全面的报告.
  • 强调人工智能在解剖学和临床病理学的未来方向.

主要方法:

  • 在癌症诊断中对人工智能和数字病理学的现有文献的审查.
  • 分析自动化全幻灯片成像 (WSI) 扫描仪的影响.
  • 审查最近的FDA批准的WSI和AI算法在初级诊断.

主要成果:

  • 数字病理学和人工智能工具越来越多地用于更快,更高质量的癌症诊断.
  • WSI扫描仪提供高分辨率图像,使其能够集成到所有病理学报告方面.
  • 美国食品和药物管理局的批准表明,WSI和AI在初级诊断用途中的接受度越来越高.

结论:

  • 人工智能为解剖学和临床病理学工作流程的创新提供了一个独特的平台.
  • 整合DP和AI对于在癌症护理中推进精准医学至关重要.
  • 持续的研究和试验对于实现AI在病理学中的全部潜力至关重要.