MGAPep: LLM-Augmented Multimodal Graph Attention for Protein-Peptide Binding Site Prediction and Cross-Domain Transfer [0.03%]
MGAPep：增强型多模态图注意力方法，用于蛋白质-肽结合位点预测和跨领域迁移
Xiangzheng Fu,Xiaowen Li,Bosheng Song et al.
Xiangzheng Fu et al.
Protein-peptide interactions drive peptide therapeutics, precision design, and biomarker discovery, yet most predictors underuse complementary sequence-structure information. LLM-augmented multimodal approaches offer a promising solution to...
Learning High-Order Relationships with Hypergraph Attention-based Spatio-Temporal Aggregation for Brain Disease Analysis [0.03%]
基于超图注意的时空聚合的脑疾病分析中的高阶关系学习
Wenqi Hu,Xuerui Su,Guanliang Li et al.
Wenqi Hu et al.
Functional connectivity derived from functional magnetic resonance imaging (fMRI) primarily captures pairwise interactions between brain regions, which limits its ability to characterize complex high-order relationships. Hypergraph-based me...
SSDiff: A Contrast-Free Virtual LGE Generator for Acute Myocardial Infarction with Joint Segmentation via Diffusion Model [0.03%]
基于扩散模型的无需对比的急性心肌梗死虚拟LGE生成器及联合分割方法(SSDiff)
Jing Qi,Xiuzheng Yue,Miao Hu et al.
Jing Qi et al.
Myocardial infarction (MI) remains a major cause of death and disability. Although late gadolinium enhancement (LGE) cardiac MRI is the reference for assessing myocardial viability, it requires contrast injection, complex protocols, and add...
Breaking the Black Box: Interpretable AI Achieves Superior Hemorrhage Detection with the Compensatory Reserve Measurement [0.03%]
打破黑箱操作：可解释的人工智能利用代偿储备测量法实现出血检测优效性
Michael L Tibbs,Benjamin McCloskey,Eric J Snider et al.
Michael L Tibbs et al.
Hemorrhage remains the leading cause of preventable trauma death, with traditional vital signs failing to detect blood loss until 25-30% volume depletion occurs. Compensatory Reserve Measurement (CRM) enables earlier hemorrhage detection bu...
SpineVLM: A Markdown-Guided Structured Fine-Tuning Framework for Spine X-ray Report Generation [0.03%]
基于Markdown的脊柱X光报告生成结构化微调框架SpineVLM
Dong Liu,Wenhui Li,Ning Xu et al.
Dong Liu et al.
Automated medical report generation in specialized fields like spine radiography is constrained by data scarcity and high annotation costs. Consequently, existing multimodal large language models (MLLMs) struggle in these settings, often mi...
A GPTAssisted Multi Modal Emotion Intelligence Framework for Mental Health Predictive Analytics using Physiological Signals [0.03%]
一种基于GPT的多模态情感智能框架，用于使用生理信号进行心理健康预测分析
Thamaraimanalan Thangarajan,Ashokkumar S R,Vijayakumar Pandi et al.
Thamaraimanalan Thangarajan et al.
The need to improve predictive analytics in healthcare demands strong frameworks that would be able to interpret the complicated physiological signals well. In this study, the researcher presents a complex multi-modal emotion recognition ar...
MediPhen: Prompt-Based LLM Reasoning with Synthesized Multimodal Clinical Knowledge for Zero-Shot Multi-morbidity Phenotyping [0.03%]
MediPhen：基于提示的LLM推理，利用合成的多模态临床知识进行零样本多病共存表型分析
Y H P P Priyadarshana,Nina Zhou,Pavitra Krishnaswamy et al.
Y H P P Priyadarshana et al.
Clinical decision support using heterogeneous electronic health records (EHRs) is a well-established yet rapidly expanding research area. Large language model (LLM)-driven approaches have shown dominant performance in processing unstructure...
Unified Online Adaptation Framework for Correlation Analysis-based Spatial Filtering Methods in SSVEP-based BCIs [0.03%]
基于SSVEP的BCI中用于相关分析的空间滤波方法的统一在线自适应框架
Ze Wang,Lu Shen,Xinran Mi et al.
Ze Wang et al.
Online adaptation is a promising technique for achieving calibration-free recognition in user-friendly brain-computer interfaces (BCIs) but remains underexplored for steady-state visual evoked potential (SSVEP) recognition. In our previous ...
A Deep Hybrid Ensemble for Patient-Specific Glaucoma Detection in Digital Twin Ophthalmology [0.03%]
数字孪生验光中针对个体的深度混合模型青光眼检测方法研究
Abhinav Kumar,Ashish Singh,Ashish Kumar Maurya
Abhinav Kumar
Glaucoma is a leading cause of irreversible blindness worldwide, making early and reliable detection essential for effective clinical management. This study proposes a deep hybrid ensemble framework for automated glaucoma detection from ret...
A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation [0.03%]
一种鼻内镜经鼻气管插管下的声门实时尺度稳健分割网络方法
Yang Zhou,Chaoyong Zhang,Ruoyi Hao et al.
Yang Zhou et al.
Nasotracheal intubation (NTI) is a critical clinical procedure for establishing and maintaining patient airway patency. Machine-assisted NTI has emerged as a pivotal approach for optimizing procedural efficiency and minimizing manual interv...