Interpretable machine learning model for prediction functional cure in chronic hepatitis B patients receiving Peg-IFN therapy: A multi-center study [0.03%]
预测PEG干扰素治疗慢性乙肝患者功能性治愈的可解释机器学习模型：一项多中心研究
Peiyu Zheng,Peifeng He,Ying Guo et al.
Peiyu Zheng et al.
Background: Functional cure is the ideal treatment goal for chronic hepatitis B (CHB) treatment. We developed and validated machine learning (ML) models to predict functional cure in CHB patients. ...
Exploring Multimorbidity Patterns in older hospitalized Norwegian patients using Network Analysis modularity [0.03%]
使用网络分析模性探讨挪威老年住院患者的多病共存模式
Mohsen Askar,Beate Hennie Garcia,Kristian Svendsen
Mohsen Askar
Background: Understanding Multimorbidity Patterns (MPs) is crucial for planning healthcare interventions, allocating resources, and improving patients' outcomes. ...
Development and usability testing of an interactive Patient-Decision-Aid App for patients with advanced chronic kidney disease [0.03%]
慢性肾脏病晚期患者互动式决策辅助应用的研发及适用性试验
Ya-Fang Ho,Huey-Liang Kuo,Kai-Ling Yang et al.
Ya-Fang Ho et al.
Background: Patient decision aids (PtDAs) help patients make informed healthcare choices. However, paper-based PtDAs are often limited by time constraints, low health literacy, and limited patient understanding. While dig...
Readability, accuracy and appropriateness and quality of AI chatbot responses as a patient information source on root canal retreatment: A comparative assessment [0.03%]
人工智能聊天机器人作为根管再治疗患者信息来源的可读性、准确性和适当性及质量的比较评估
Mine Büker,Gamze Mercan
Mine Büker
Aim: This study aimed to assess the readability, accuracy, appropriateness, and overall quality of responses generated by large language models (LLMs), including ChatGPT-3.5, Microsoft Copilot, and Gemini (Version 2.0 Fla...
Optimizing immunization in pediatric oncology: Development and evaluation of an automated scheduling tool [0.03%]
儿科肿瘤学中优化免疫接种：开发和评估自动预约工具
Dominik Wawrzuta,Sylwia Giefert,Justyna Klejdysz
Dominik Wawrzuta
Background: Pediatric cancer patients often struggle to adhere to vaccination schedules, requiring personalized catch-up immunization after treatment. Currently, healthcare professionals create these schedules manually, w...
Knowledge, attitude, and practice of primary care physicians toward clinical AI-assisted digital health technologies: Systematic review and meta-analysis [0.03%]
基层医生对临床人工智能辅助数字健康技术的认知、态度和实践：系统评价和-meta分析
Hebatullah M Abdulazeem,Rehab Meckawy,Sophie Schwarz et al.
Hebatullah M Abdulazeem et al.
Background: The landscape of digital health technologies is evolving rapidly, with clinical artificial intelligence increasingly integrated into primary care. Successfully adopting these technologies depends on the users'...
Multi-modal multi-task deep neural networks for sleep disordered breathing assessment using cardiac and audio signals [0.03%]
基于心脏和音频信号的睡眠呼吸障碍多模式多任务深度神经网络评估方法
Jiali Xie,Pedro Fonseca,Johannes P van Dijk et al.
Jiali Xie et al.
Background and objective: Sleep disordered breathing (SDB) is one of the most common sleep disorders and has short-term consequences for daytime functioning while being a risk factor for several conditions, such as cardio...
The interplay between cognitive function and digital health literacy among older adults: Implications for e-health equity and accessibility [0.03%]
老年人认知功能与数字健康素养之间的相互作用：对e健康公平性和可及性的启示
Oğulcan Çöme,Özden Gökdemir,Büşra Bilik Sezer et al.
Oğulcan Çöme et al.
Background: Digital health literacy is increasingly vital for older adults, yet cognitive decline can impede effective use of online health resources. Obj...
Retrieving similar cases for clinical decision support in the context of revascularization of lower limbs [0.03%]
下肢血管重建环境下的临床决策支持的类似病例检索
Margaux Roux,Rafaëlle Spear,Céline Fouard et al.
Margaux Roux et al.
Background: Vascular surgeons face complex decisions regarding revascularization of lower limbs of patients, for which there is no decision support solution yet available. ...
Validation of the advanced alert monitor in a Dutch hospital using local optimization and refinement of the outcome definition [0.03%]
通过本地优化和细化结果定义在荷兰医院验证高级警报监护系统
Tom H G F Bakkes,Ashley J R De Bie Dekker,Jonna A van der Stam et al.
Tom H G F Bakkes et al.
Background: The Advanced Alert Monitor (AAM) is a data-driven Early Warning Score (EWS) system designed to predict ICU admission or mortality within 12 hours. It has demonstrated superior performance compared to the Natio...