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人工智能应用在间歇性肺部疾病中的最新进展

Konstantinos P Exarchos¹, Georgia Gkrepi¹, Konstantinos Kostikas¹

¹Respiratory Medicine Department, University of Ioannina School of Medicine, 45110 Ioannina, Greece.

Diagnostics (Basel, Switzerland)

|July 14, 2023

概括

人工智能 (AI) 正在彻底改变间歇性肺部疾病 (ILD) 的诊断和管理. 这篇评论强调了人工智能.

科学领域:

肺部医学肺部医学
医疗成像医学成像
人工智能的人工智能

背景情况:

间歇性肺病 (ILD) 是一组多样化的呼吸系统疾病,具有复杂的诊断挑战.
高分辨率计算机断层扫描 (CT) 对于ILD诊断和管理至关重要.
越来越复杂的ILD数据需要先进的分析方法.

研究的目的:

在过去五年中,审查人工智能 (AI) 在间歇性肺部疾病 (ILD) 中的突出应用.
在ILD中将AI应用分类为查,诊断/分类和预后.
提供AI在推动ILD研究和临床实践中的作用的概述.

主要方法:

关于人工智能在ILDs的最近研究 (大约在过去五年) 的文献综述.
人工智能应用的分层化到查,诊断和分类以及预后.
分析AI在各种数据类型的利用情况,包括成像,遗传学和肺功能测试.

主要成果:

人工智能在查ILD方面显示出显著的潜力.
人工智能工具越来越多地用于准确诊断和分类ILDs.
人工智能应用正在出现,用于预测ILD患者的预后.

结论:

人工智能是一个快速发展的工具,在间歇性肺部疾病管理中具有变革潜力.
人工智能应用涵盖查,诊断,分类和预后,增强患者护理.
对人工智能的进一步研究和整合对于推动ILD领域的发展至关重要.

关键词:

人工智能的人工智能是人工智能.深度学习是一种深度学习.扩散性帕伦基马性肺部疾病间歇性肺病间歇性肺病机器学习是机器学习.

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