From EHR chaos to clinical clarity: enhancing foundational encoders with task-specific attention for domain-oriented representation learning in downstream clinical applications [0.03%]
Ibtihaj Ahmad,Jing Qu,Qi Zhang et al.
Ibtihaj Ahmad et al.
Electronic health records (EHRs) contain rich clinical information; however, they pose challenges for representation learning due to long free-text notes, domain shift, irregular structure, incomplete, and sparse fields. To address these ch...
Fine-grained evaluation of a domain-specific Q&A dataset to support trustworthy medical language models [0.03%]
Rafael da C Fonseca,Ricardo A Rios,Rodrigo Castaldoni et al.
Rafael da C Fonseca et al.
The effective use of Large Language Models (LLMs) for generating coherent and informative content in specialized domains has largely been driven by the development of robust evaluation strategies. Based on this assumption, we introduce Hemo...
An explainable hybrid deep-learning and machine learning framework for automatic coeliac disease detection from duodenal endoscopy images [0.03%]
Souaad Hamza-Cherif,Adil Gaouar,Zineb Aziza El Aouaber et al.
Souaad Hamza-Cherif et al.
Purpose: Coeliac disease (CD) remains underdiagnosed because current diagnostic procedures rely on invasive biopsy, expert-dependent interpretation, and visually subtle endoscopic signs. This study aims to develop an expl...
PhenoRareAI: Phenotype-based intelligent diagnosis for rare neuromuscular disorders of glycogen storage disease and spinal muscular atrophy [0.03%]
基于表型的罕见糖原贮积病和脊髓性肌萎缩症智能诊断系统 PhenoRareAI
Weiqi Zhai,Kexin Jiao,Ningning Wang et al.
Weiqi Zhai et al.
Rare neuromuscular diseases pose significant diagnostic challenges due to their genetic complexity and varied clinical presentations. Current diagnostic methods are often costly and inefficient, with primary care physician slacking adequate...
PKFAR: psychiatry knowledge-fused augmented reasoning with large language models [0.03%]
PKFAR：基于大型语言模型的精神病学知识融合增强推理方法
Rongzheng Wang,Cheng Yu,Qian Dong et al.
Rongzheng Wang et al.
Purpose: Psychiatric diagnosis faces significant challenges due to subjective symptom reporting and complex diagnostic criteria. While Large Language Models (LLMs) offer potential clinical decision support, their implemen...
ProsthetiX-AI: An LLM-based clinical decision support system for evidence-based prosthetic recommendations [0.03%]
ProsthetiX-AI：一种基于LLM的临床决策支持系统，用于循证假肢推荐
Vidyapati Kumar,Dilip Kumar Pratihar
Vidyapati Kumar
Prosthetic selection critically influences rehabilitation outcomes for lower-limb amputees, yet conventional approaches often rely on subjective clinical judgment and static protocols, frequently overlooking individualized patient factors. ...
Multi-omics data integration for disease phenotype prediction using adversarial vision graph networks [0.03%]
基于对抗视觉图网络的多组学数据集成及疾病表型预测方法研究
Ajni K Ajai
Ajni K Ajai
Disease Phenotype Prediction is the process of predicting the manifestation of specific observable features related to a disease based on genetic data. The primary challenge is to predict disease phenotypes accurately by integrating heterog...
Parameter-efficient fine-tuning with layer pruning on medical sequence-to-sequence modeling [0.03%]
基于分层剪枝的医学序列模型参数高效微调方法研究
Yunqi Zhu,Yuanyuan Wu,Wensheng Zhang et al.
Yunqi Zhu et al.
The increasing size of language models raises great research interests in parameter-efficient fine-tuning (PEFT) such as LoRA that freezes the main body of a pre-trained model, and injects small-scale trainable parameters for multiple downs...
UMEval: a unified framework for explainable medical term semantic evaluation with large language models [0.03%]
UMEval：一种基于大规模语言模型的解释性医学术语语义评估统一框架
Shuyu Liu,Linkun Feng,Youwei Luo et al.
Shuyu Liu et al.
Purpose: Accurate medical term semantic evaluation is critical for patient safety, timely diagnosis, and healthcare interoperability. Existing methods suffer from incomplete knowledge coverage, insufficient interpretabili...
Detecting stress from videos via intra-subject and inter-subject learning [0.03%]
基于个体间和个体内的学习的视频情感计算中压力检测方法研究
Yang Ding,Yi Dai,Lei Cao et al.
Yang Ding et al.
Mental stress poses a growing threat to public health, yet video based stress detection remains challenging because of substantial inter individual variability in physiological and expressive responses. To address this issue, we propose a n...