Exploring and Comparing Existing Natural Product Databases Towards Whole Person Health Research [0.03%]
探索和比较现有的天然产物数据库以促进整体健康研究
Xiaoyi Chen,Meijia Song,Yu Hou et al.
Xiaoyi Chen et al.
Natural products are essential in drug discovery, chemical biology, and medicinal chemistry. Despite their widespread use, NP data remains fragmented across various databases, limiting their utility for whole person health research, which r...
Comparative Study
AMIA ... Annual Symposium proceedings. AMIA Symposium. 2025 May 22:2024:267-276. DOI: 2025
Towards Interpretable, Sequential Multiple Instance Learning: An Application to Clinical Imaging [0.03%]
面向可解释的、序列化的多重实例学习：在临床影像方面的一个应用研究
Xiaolong Luo,Hsin-Hsiao Scott Wang,Michael Lingzhi Li
Xiaolong Luo
This work introduces the Sequential Multiple Instance Learning (SMIL) framework, addressing the challenge of interpreting sequential, variable-length sequences of medical images with a single diagnostic label. Diverging from traditional MIL...
Supporting Patients in Managing Electronic Health Records and Biospecimens Consent for Research: Insights from a Mixed-Methods Usability Evaluation of the iAGREE Portal [0.03%]
基于混合研究方法的iAGREE门户病人电子病历和生物样本知情同意书管理效能评估见解
Di Hu,Xi Lu,Yunan Chen et al.
Di Hu et al.
De-identified health data are frequently used in research. As AI advances heighten the risk of re-identification, it is important to respond to concerns about transparency, data privacy, and patient preferences. However, few practical and u...
Comparing Patient-level Social Drivers of Health from Health Surveys and Electronic Health Records for Patients with Comorbid Hypertension and Uncontrolled Diabetes [0.03%]
基于健康调查和电子健康记录的患者层面的社会健康因素对比——兼患高血压和不受控制糖尿病患者的案例分析
Somin Sang,Susan G Silva,Susan E Spratt et al.
Somin Sang et al.
Social drivers of health significantly influence diabetes and hypertension outcomes. By taking into account patients' social and economic circumstances, healthcare systems can enhance both the quality and efficiency of care delivery, leadin...
Comparative Study
AMIA ... Annual Symposium proceedings. AMIA Symposium. 2025 May 22:2024:1110-1119. DOI: 2025
Racial and Ethnic Disparities in Identification of Cyanosis in ICU Settings [0.03%]
重症监护环境中种族和民族对发绀识别的差异性研究
Izzy Chaiken,Neha A Sathe,Mark M Wurfel et al.
Izzy Chaiken et al.
Cyanosis is a discoloration of the skin arising from deoxygenated hemoglobin in the blood, caused by heart, lung, and blood diseases and treated with interventions including supplemental oxygen therapy. Cyanosis presents as a bluish discolo...
STop Clock for Automated Tracking (STAT) during Time-Critical Medical Work: Evaluating the Accuracy and Usability of an AI-Driven Automated Stop Clock [0.03%]
基于人工智能的自动化停表在时间关键性医疗工作中的准确性和易用性的评估：用于自动化追踪(STAT)的停止计时器
Katherine A Zellner,Sifan Yuan,Emily R Ernst et al.
Katherine A Zellner et al.
Delays and process inefficiencies during trauma resuscitation can contribute to adverse patient outcomes. While tracking elapsed time may improve the trauma team's temporal awareness and reduce delays, reliance on manual activation of stop ...
Examining the Influence of Nurse Staffing on Delayed Insulin Administration in Acute Care Settings Using EHR and BCMA Data [0.03%]
基于电子病历和条形码药物管理系统的护理人力对急性护理环境中胰岛素延迟注射影响的分析研究
Mikie Rachman,Po-Yin Yen
Mikie Rachman
Delayed insulin administration can lead to poor glycemic outcomes in patients with diabetes. Using EHR and BCMA data, we examined insulin administration patterns across different shifts and types of insulin, and the association between nurs...
Analyzing and Mitigating Model Drift in Acute Kidney Injury Prediction for Hospitalized Patients [0.03%]
住院患者急性肾损伤预测中的模型漂移分析与缓解方法研究
Zijian Xu,Deyi Li,Qi Xu et al.
Zijian Xu et al.
Artificial intelligence and machine learning are transforming healthcare by improving clinical risk predictions and diagnostic precision. However, their performance can be compromised by data drifts due to changes in patient populations and...
Leveraging Provocative Design Methods to Address Implicit Bias in Clinical Interactions through Technology [0.03%]
利用具有挑衅性的设计方法通过技术手段应对临床交互中的隐性偏见
Deepthi Mohanraj,Raina Langevin,Libby Shah et al.
Deepthi Mohanraj et al.
Implicit bias impacts the quality of patient-clinician interactions, influencing patient outcomes and trust in healthcare. Most interventions to mitigate bias rely solely on expensive human assessments, rather than leveraging AI technology ...
Identifying Missing IS-A Relations in SNOMED CT with Fine-Tuned Pre-trained Language Models and Non-lattice Subgraphs [0.03%]
基于细调的预训练语言模型和非格子子图识别SNOMED CT中缺失的IS-A关系
Xubing Hao,Rashmie Abeysinghe,Jay Shi et al.
Xubing Hao et al.
Ensuring the completeness of IS-A relations in SNOMED CT is crucial for maintaining its accuracy in clinical applications. In this study, we propose a hybrid approach leveraging non-lattice subgraphs and pre-trained language models (PLMs) t...