An automated ICU agitation monitoring system for video streaming using deep learning classification [0.03%]
基于深度学习分类的重症监护室视频流镇静自动监测系统
Pei-Yu Dai,Yu-Cheng Wu,Ruey-Kai Sheu et al.
Pei-Yu Dai et al.
Objective: To address the challenge of assessing sedation status in critically ill patients in the intensive care unit (ICU), we aimed to develop a non-contact automatic classifier of agitation using artificial intelligen...
Communicating the results of risk-based breast cancer screening through visualizations of risk: a participatory design approach [0.03%]
基于风险的乳腺癌筛查结果的可视化沟通：一种参与式设计方法
Inge S van Strien-Knippenberg,Hannah Arjangi-Babetti,Danielle R M Timmermans et al.
Inge S van Strien-Knippenberg et al.
Background: Risk-based breast cancer (BC) screening raises new questions regarding information provision and risk communication. This study aimed to: 1) investigate women's beliefs and knowledge (i.e., mental models) rega...
Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences [0.03%]
探讨ChatGPT在医疗对话摘要中的潜力：一项关于符合人类偏好的研究
Yong Liu,Shenggen Ju,Junfeng Wang
Yong Liu
Background: Telemedicine has experienced rapid growth in recent years, aiming to enhance medical efficiency and reduce the workload of healthcare professionals. During the COVID-19 pandemic in 2019, it became especially c...
SurvInt: a simple tool to obtain precise parametric survival extrapolations [0.03%]
SurvInt：一个用于获得精确参数生存外推的简单工具
Daniel Gallacher
Daniel Gallacher
Background: Economic evaluation of emerging health technologies is mandated by agencies such as the National Institute for Health and Care Excellence (NICE) to ensure their cost is proportional to their benefit. To avoid ...
Deep learning of movement behavior profiles and their association with markers of cardiometabolic health [0.03%]
运动行为特征的深度学习及其与心血管代谢健康标志物的关系
Vahid Farrahi,Paul J Collings,Mourad Oussalah
Vahid Farrahi
Background: Traditionally, existing studies assessing the health associations of accelerometer-measured movement behaviors have been performed with few averaged values, mainly representing the duration of physical activit...
Implementation difficulties and solutions for a smart-clothes assisted home nursing care program for older adults with dementia or recovering from hip fracture [0.03%]
智能服装辅助居家护理计划在老年人痴呆或髋部骨折康复中的实施困难及解决办法
Chung-Chih Lin,Ching-Tzu Yang,Pei-Ling Su et al.
Chung-Chih Lin et al.
Background: Wearable devices have the advantage of always being with individuals, enabling easy detection of their movements. Smart clothing can provide feedback to family caregivers of older adults with disabilities who ...
Assessing the research landscape and clinical utility of large language models: a scoping review [0.03%]
评估大型语言模型的研究领域与临床应用价值：系统性回顾
Ye-Jean Park,Abhinav Pillai,Jiawen Deng et al.
Ye-Jean Park et al.
Importance: Large language models (LLMs) like OpenAI's ChatGPT are powerful generative systems that rapidly synthesize natural language responses. Research on LLMs has revealed their potential and pitfalls, especially in ...
KGSCS-a smart care system for elderly with geriatric chronic diseases: a knowledge graph approach [0.03%]
KGSCS-老年人慢性病智能护理系统：知识图谱的方法
Aihua Li,Che Han,Xinzhu Xing et al.
Aihua Li et al.
Background: The increasing aging population has led to a shortage of geriatric chronic disease caregiver, resulting in inadequate care for elderly people. In this global context, many older people rely on nonprofessional ...
Development and validation of 'Patient Optimizer' (POP) algorithms for predicting surgical risk with machine learning [0.03%]
'Patient Optimizer' (POP)算法的开发与验证：使用机器学习预测手术风险
Gideon Kowadlo,Yoel Mittelberg,Milad Ghomlaghi et al.
Gideon Kowadlo et al.
Background: Pre-operative risk assessment can help clinicians prepare patients for surgery, reducing the risk of perioperative complications, length of hospital stay, readmission and mortality. Further, it can facilitate ...
Developing an integrated clinical decision support system for the early identification and management of kidney disease-building cross-sectoral partnerships [0.03%]
开发一个综合临床决策支持系统以早期识别和管理肾脏疾病--建立跨部门合作关系
Gillian Gorham,Asanga Abeyaratne,Sam Heard et al.
Gillian Gorham et al.
Background: The burden of chronic conditions is growing in Australia with people in remote areas experiencing high rates of disease, especially kidney disease. Health care in remote areas of the Northern Territory (NT) is...