ABSTRACT Integrating histopathology, genomic, and clinical phenotypes holds promise for improving prognostic patient stratification, including within treatment‐defined subgroups, in colorectal cancer (CRC). However, ensuring the availability of all modalities in routine clinical practice remains challenging. Comprehens...
Chuang-Jie Cao, Zhe-Yi Ji, Chang He et al.· Advancement of science· 0 citations
SlideChat, a multimodal generative artificial intelligence assistant for whole-slide computational pathology across cancer types, outperformed leading baselines in closed-ended accuracy and report-generation Metric for Evaluation of Translation with Explicit Ordering score and received the highest expert ratings across...
Ying Chen, Chenglong Ma, Qiong-Qiong Li et al.· Nature Cancer· 2 citations
VLALight is proposed, a lightweight end-to-end vision-language-action framework that directly maps intersection observations and signal-phase information to discrete signal actions and enables direct action prediction with a compact 0.5 B-parameter model.
Ke-Mou Jiang, Mao-Nan Wang, Xingchen Zou et al.· 0 citations
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