Phenotype augmentation using generative AI for isocitrate dehydrogenase mutation prediction in glioma

Abstract This study investigated the effects of feature augmentation, which uses generated images with specific imaging features, on the performance of isocitrate dehydrogenase (IDH) mutation prediction models in gliomas. A total of 598 patients were included from our institution (310 training, 152...

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Hlavní autoři:	Ha Kyung Jung, Changyong Choi, Ji Eun Park, Seo Young Park, Jae Ho Lee, Namkug Kim, Ho Sung Kim
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-08-01
Edice:	Scientific Reports
Témata:	Artificial intelligence Diffusion models Glioma Feature augmentation Isocitrate dehydrogenase Prediction
On-line přístup:	https://doi.org/10.1038/s41598-025-14477-z
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