Adaptive multimodal fusion via Gated Parallel Mamba architecture for ultra-high-precision stroke lesion segmentation in medical imaging [0.03%]
基于Gated Parallel Mamba架构的自适应多模态融合在医学影像中进行超高精度脑卒中病灶分割的方法
Runnan He,Leshui Dong,Shuang Xia et al.
Runnan He et al.
The accurate delineation of ischemic stroke lesions in magnetic resonance imaging (MRI) is impeded by heterogeneous lesion morphology and the computational expense of modeling global context in three‑dimensional data. In cerebral infarctio...
The deployment of ProKnow for cloud-based clinical research in radiotherapy [0.03%]
ProKnow在放射治疗的基于云的研究中的部署
Vasiliki Anagnostatou,Martin Knauer,Sebastian H Maier et al.
Vasiliki Anagnostatou et al.
ProKnow is an archive and restore tool for radiation oncology and imaging data, peer review, distributed contouring, study of metrics and discovery of trends; it represents a common ground for plan analysis and comparison due to an integrat...
Jacky Chung-Hao Wu,Chang-Yu Shih,Nien-Chen Wu et al.
Jacky Chung-Hao Wu et al.
Performance disparities in AI systems can manifest across sensitive groups or across data sources, especially when training data are collected from specific populations. In this work, we propose a feature-selection-based method that improve...
Artificial intelligence-based chatbots to enhance medication adherence among patients with non-communicable chronic diseases: Systematic review and meta-analysis [0.03%]
基于人工智能的聊天机器人在非传染性慢性病患者中提高药物依从性的系统评价和meta分析
Siyu Chen,Yuan Fang,Liwen Ding et al.
Siyu Chen et al.
Medication adherence remains a major public health challenge among patients with non-communicable diseases (NCDs) worldwide. Artificial intelligence (AI)-based chatbots may enhance adherence by automating reminders, education, and real-time...
Machine learning prediction of physician-assigned treatment categories from pre-procedural electronic medical record data in cardiac patients: A multiclass classification study [0.03%]
基于心脏病患者术前电子病历资料的医师分配治疗分类的机器学习预测：一项多类分类研究
Mohammad Tanhaei
Mohammad Tanhaei
Cardiovascular diseases (CVDs) remain a leading source of morbidity, mortality, and healthcare burden worldwide. In patients with coronary artery disease (CAD), choosing among medical therapy, percutaneous coronary intervention (PCI), and c...
Factors associated with chronic pain clinical decision support use in primary care [0.03%]
影响基层医疗慢性疼痛临床决策支持使用的因素
Emma McCord,Nate C Apathy,Justin Blackburn et al.
Emma McCord et al.
Clinical Decision Support (CDS), despite its potential to enhance healthcare quality, faces persistently low use. Prior research, often relying on self-reported data, has largely overlooked how clinician characteristics, such as gender and ...
Geospatial analysis in addressing surgical care inequities: A scoping review and methodological guide [0.03%]
基于地理空间分析的方法学指导和系统综述以解决外科护理的不公平问题
Marc Cohen,Rui Fu,Jonathan Irish et al.
Marc Cohen et al.
Surgical system decision-makers are confronted with the challenge of justifying investment in new surgical facilities against expanding the capacity of existing ones, and if worthwhile, where to place such new facilities. Geospatial analysi...
Digital citizenship for health: Mapping and evaluation of existing platforms supporting digital, health, and civic literacy among young people [0.03%]
数字公民的健康素养：现有平台支持年轻人数字素养、健康素养和公民素养的地图和评估
Racheal Oluwabukunmi Ogundipe
Racheal Oluwabukunmi Ogundipe
Young people often lack access to literacy platforms that address their specific needs, leaving them vulnerable to misinformation, online harm, privacy risks, and limited capacity to engage in digital, health, and civic spaces. This study a...
Machine learning-driven integration of 24-hour ambulatory blood pressure and its variability [0.03%]
基于机器学习的24小时动态血压及其变异性的整合分析
Evangelos Ntalianis,Everton Jose Santana,Nicholas Cauwenberghs et al.
Evangelos Ntalianis et al.
Twenty-four hour ambulatory blood pressure (BP) monitoring (24-hour ABPM) is considered the best out-of-office BP measurement to assess hypertension. Yet, the complexity of the obtained data, hinders their interpretation. Therefore, in this...
Development, internal and external evaluation of an artificial intelligence algorithm for child growth monitoring in primary care [0.03%]
儿童生长发育人工智能监测算法的研发及内外部评估研究
Pauline Scherdel,Raphaële Houlbracq,Emmanuel Lecoeur et al.
Pauline Scherdel et al.
Our goal was to improve growth monitoring in children by developing and evaluating an artificial intelligence (AI) algorithm that can detect abnormal growth. We used pre-diagnosis height measurements for children with a diagnosis of growth ...