Multiple instance learning using pathology foundation models effectively predicts kidney disease diagnosis and clinical classification

Abstract Recently developed pathology foundation models, pretrained on large-scale pathology datasets, have demonstrated excellent performance in various downstream tasks. This study evaluated the utility of pathology foundation models combined with multiple instance learning (MIL) for kidney pathol...

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Detalles Bibliográficos

Principais autores:	Yu Kurata, Imari Mimura, Satoshi Kodera, Hiroyuki Abe, Daisuke Yamada, Haruki Kume, Tetsuo Ushiku, Tetsuhiro Tanaka, Norihiko Takeda, Masaomi Nangaku
Formato:	Artigo
Idioma:	Inglês
Publicado:	Nature Portfolio 2025-10-01
Series:	Scientific Reports
Assuntos:	Artificial intelligence Renal pathology Foundation model Multiple instance learning
Acceso en liña:	https://doi.org/10.1038/s41598-025-19297-9
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