Design and Evaluation of EMPATHICA: A Chatbot for Enhancing Medication Literacy [0.03%]
EMPATHICA的设计与评估：一种增强药物知识的聊天机器人
Yuri Quintana,Katherine Bloom,Gyana Srivastava et al.
Yuri Quintana et al.
Health literacy significantly impacts patient outcomes, yet many struggle to understand complex medication information. Medication non-adherence often results from poor comprehension of drug instructions and contributes to preventable hospi...
A Clinically-Informed Framework for Evaluating Vision-Language Models in Radiology Report Generation: Taxonomy of Errors and Risk-Aware Metric [0.03%]
临床驱动的用于放射学报告生成的视觉语言模型评估框架：错误分类和风险感知指标
Hao Guan,Peter C Hou,Pengyu Hong et al.
Hao Guan et al.
Recent advances in vision-language models (VLMs) have enabled automatic radiology report generation, yet current evaluation methods remain limited to general-purpose NLP metrics or coarse classification-based clinical scores. In this study,...
Addressing Generalizability in Clinical Named Entity Recognition: Federated Learning or Large Language Models?: A Case Study on Visual Acuity Extraction from US and UK Eye Institutes [0.03%]
临床命名实体识别中的泛化问题：联邦学习还是大型语言模型？：美国和英国眼科机构中视力 acuity 提取的案例研究
Quang N Nguyen,Honghan Wu,Nikolas Pontikos et al.
Quang N Nguyen et al.
Clinical Named Entity Recognition (NER) is vital for extracting structured data from clinical text, but ensuring model generalizability across institutions remains challenging. This study compares two approaches: (1) Federated Learning (FL)...
Adaptive Constraint Relaxation in Personalized Nutrition Recommendations: An LLM-Driven Knowledge Graph Retrieval Approach [0.03%]
自适应约束放松的个性化营养推荐：一种LLM驱动的知识图谱检索方法
Pengfei Zhang,Mohbat Fnu,Yutong Song et al.
Pengfei Zhang et al.
Personalized food recommendation systems must balance various constraints, including medical guidelines, nutritional needs, and individual preferences. However, existing methods often struggle with overly restrictive queries, frequently fai...
Data-Driven Approach to Design an Efficient Mass Vaccination and Public Health Monitoring Informatics Platform [0.03%]
数据驱动的设计高效大规模疫苗接种和公共卫生监测信息平台的方法
Eva K Lee,YiFan Liu
Eva K Lee
Documenting clients, screenings and vaccinations administered is of particular importance during mass vaccination, since information regarding uptake is critical for monitoring adverse effects and vaccine efficacy. This is especially essent...
Temporal Harmonization: Improved Detection of Mild Cognitive Impairment from Temporal Language Markers using Subject-invariant Learning [0.03%]
基于主题无关学习的时间语言标记的轻度认知障碍改进检测方法研究
Bao Hoang,Siqi Liang,Yijiang Pang et al.
Bao Hoang et al.
Mild Cognitive Impairment (MCI) is an early stage of dementia characterized by cognitive decline and behavioral changes. Early detection is crucial for timely interventions, improved clinical trial cohort selection, and the development of t...
Evaluating the Effectiveness of Complementary and Integrative Health Therapies in Preventing Postpartum Depression: A Target Trial Emulation Study [0.03%]
评估补充和综合健康疗法在预防产后抑郁症方面的有效性：一种目标试验模拟研究
Huixue Zhou,Yiye Zhang,Zhenxing Xu et al.
Huixue Zhou et al.
Subject: This study aims to evaluate the effectiveness of Complementary and Integrative Health (CIH) therapies in reducing the incidence and severity of Postpartum Depression (PPD) using real-world data and target trial emulation. Methods: ...
Understanding Negative Health Outcomes of Vaping by Mining Millions of Posts and Comments in Reddit [0.03%]
通过挖掘Reddit中的数百万帖子和评论来了解电子烟的负面健康影响
Dian Hu,Dezhi Wu,Erin Kasson et al.
Dian Hu et al.
Electronic cigarette (vaping) usage in the U.S. has steadily increased, raising significant public health concerns. Extensive research demonstrates various negative health outcomes associated with vaping. However, many potential harms remai...
CDR-Agent: Intelligent Selection and Execution of Clinical Decision Rules Using Large Language Model Agents [0.03%]
基于大型语言模型代理的临床决策规则的智能选择和执行
Zhen Xiang,Aliyah R Hsu,Austin V Zane et al.
Zhen Xiang et al.
Clinical decision-making is inherently complex and fast-paced, particularly in emergency departments (EDs) where rapid and high-stakes decisions are made. Clinical Decision Rules (CDRs) are standardized evidence-based tools that combine sig...
PVLens: Enhancing Pharmacovigilance Through Automated Label Extraction [0.03%]
基于自动化标签抽取的药物警戒系统PVLEns
Jeffery L Painter,Gregory E Powell,Andrew Bate
Jeffery L Painter
Reliable drug safety reference databases are essential for pharmacovigilance, yet existing resources like SIDER are outdated and static. We introduce PVLens, an automated system that extracts labeled safety information from FDA Structured P...