Can explainable artificial intelligence classify asthma and COPD from xenon-129 ventilation magnetic resonance imaging?

IF 4.4 3区医学 Q1 RESPIRATORY SYSTEM

ERJ Open Research Pub Date : 2026-10-19 eCollection Date: 2026-09-01 DOI:10.1183/23120541.01026-2026

Eveline Durom, Mark Wielpütz

引用次数: 0

Abstract

Explainability-derived imaging biomarkers offer a path to uncovering functional patterns linked to structural changes, advancing ¹²⁹Xe-MRI toward clinical, biomarker-driven phenotyping in asthma and COPD https://bit.ly/4fRksAa.

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可解释的人工智能能否从氙-129通气磁共振成像中对哮喘和COPD进行分类？

可解释性衍生的成像生物标志物为揭示与结构变化相关的功能模式提供了一条途径，将129Xe-MRI推向哮喘和COPD的临床，生物标志物驱动的表型分析https://bit.ly/4fRksAa。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ERJ Open Research Medicine-Pulmonary and Respiratory Medicine

CiteScore

6.20

自引率

4.30%

发文量

273

审稿时长

8 weeks

期刊介绍： ERJ Open Research is a fully open access original research journal, published online by the European Respiratory Society. The journal aims to publish high-quality work in all fields of respiratory science and medicine, covering basic science, clinical translational science and clinical medicine. The journal was created to help fulfil the ERS objective to disseminate scientific and educational material to its members and to the medical community, but also to provide researchers with an affordable open access specialty journal in which to publish their work.