Multimodal fusion model for prognostic prediction and radiotherapy response assessment in head and neck squamous cell carcinoma

Abstract Accurate prediction of prognosis and postoperative radiotherapy response is critical for personalized treatment in head and neck squamous cell carcinoma (HNSCC). We developed a multimodal deep learning model (MDLM) integrating computed tomography, whole-slide images, and clinical features f...

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Dettagli Bibliografici

Autori principali:	Ruxian Tian, Feng Hou, Haicheng Zhang, Guohua Yu, Ping Yang, Jiaxuan Li, Ting Yuan, Xi Chen, Ying Chen, Yan Hao, Yisong Yao, Hongfei Zhao, Pengyi Yu, Han Fang, Liling Song, Anning Li, Zhonglu Liu, Huaiqing Lv, Dexin Yu, Hongxia Cheng, Ning Mao, Xicheng Song
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2025-05-01
Serie:	npj Digital Medicine
Accesso online:	https://doi.org/10.1038/s41746-025-01712-0
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