Artificial intelligence strategies based on random forests for detecting ischemia–reperfusion injury changes in kidney tissue during intravital imaging

Abstract This study presents a supervised machine learning approach using a Random Forest classifier to detect ischemia-reperfusion injury (IRI) in kidney tissue based on intravital two-photon microscopy data. A rodent model of unilateral renal IRI was used, with 30 min of pedicle occlusion followed...

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Detalhes bibliográficos

Principais autores:	Igor Pantic, Jovana Paunovic Pantic, Svetlana Valjarevic, Jelena Cumic, Peiwu Qin, Peter R. Corridon
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-10-01
coleção:	Scientific Reports
Assuntos:	Artificial intelligence Random forest Ischemia-reperfusion injury Kidney Intravital imaging
Acesso em linha:	https://doi.org/10.1038/s41598-025-21352-4
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