RAG / 检索增强生成

NeuroXVocal: Detection and Explanation of Alzheimer's Disease through Non-invasive Analysis of Picture-prompted Speech

NeuroXVocal：通过非侵入性分析提示语音检测和解释阿尔茨海默病

Nikolaos Ntampakis, Konstantinos Diamantaras, Ioanna Chouvarda, Magda Tsolaki, Vasileios Argyriou, Panagiotis Sarigianndis

机构 * International Hellenic University, Sindos, Greece MetaMind Innovations, Kozani, Greece Aristotle University of Thessaloniki, Thessaloniki, Greece Greek Association of Alzheimer’s Disease \& Related Disorders, Thessaloniki, Greece Kingston University London, London, UK University of Western Macedonia, Kozani, Greece 纠错

专题命中 多模态RAG ：retrieval-augmented generation(abstract)；RAG(abstract)

AI总结 NeuroXVocal通过非侵入性语音分析实现阿尔茨海默病的检测与解释，结合高精度分类和文献支持的可解释性，提升临床诊断效果。

Journal ref Medical Image Computing and Computer Assisted Intervention - MICCAI 2025. Lecture Notes in Computer Science, vol 15973. Springer, Cham (2025)

SurvAgent: Hierarchical CoT-Enhanced Case Banking and Dichotomy-Based Multi-Agent System for Multimodal Survival Prediction

SurvAgent: 基于层次化CoT增强的案例库与二元多智能体系统用于多模态生存预测

Guolin Huang, Wenting Chen, Jiaqi Yang, Xinheng Lyu, Xiaoling Luo, Sen Yang, Xiaohan Xing, Linlin Shen

机构 * Shenzhen University（深圳大学） ； Stanford University（斯坦福大学） ； University of Nottingham Ningbo China（诺丁汉大学宁波分校） ； Ant Group（蚂蚁集团） 纠错

专题命中 多模态RAG ：RAG(abstract)；分类 cs.CL

AI总结 SurvAgent通过层次化CoT增强的多智能体系统，整合多模态数据，提升生存预测的可解释性与准确性。

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