Integrating multimodal clinical data with a large model for prostate cancer diagnosis

Abstract Accurate prostate cancer (PCa) diagnosis remains difficult because of tumor heterogeneity and the challenge of integrating multimodal clinical information. We developed Prost-LM, a multimodal large language model that jointly embeds MRI-derived features, numerical PSA values, and free-text...

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Autors principals:	Chengbang Wang, Yuan Tian, Shaojie Yin, Xuhong Zhang, Xuedong Wei, Lingfeng Wu, Zhengdong Zhou, Guijian Pang, Yan Wang, Wangjian Wu, Shukai Zhao, Ziwei Wang, Jiangnan Xu, Hao He, Minglun Li, Zhankui Jia, Xu Gao, Fubo Wang, Guangtao Zhai, Bin Xu
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-04-01
Col·lecció:	npj Digital Medicine
Accés en línia:	https://doi.org/10.1038/s41746-026-02670-x
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