Transforming healthcare using big data: a systematic and bibliometric review [0.03%]
利用大数据变革医疗保健：系统化和文献计量综述
Javier Gamboa-Cruzado,Kiara Fernandez-Perez,Herber Laura-Abarca et al.
Javier Gamboa-Cruzado et al.
Introduction: The application of Big Data in healthcare enhances disease management by improving diagnostics and treatments, offering a foundation for positive impacts on the health of diverse populations. ...
Artificial intelligence for prediction of clinical response and therapeutic value in interventional pain management: a scoping review [0.03%]
预测临床反应和治疗价值的人工智能在介入性疼痛管理中的作用：系统综述
Mariana González Garcés,Jerónimo Cárdenas Montoya,Valeria Concha Fernández et al.
Mariana González Garcés et al.
Introduction: Interventional pain management is characterised by substantial variability in clinical response, durability of benefit and risk of adverse events, which limits traditional decision-making approaches based on...
Assessing retina-specific ophthalmic counseling generated by an early public large language model across different levels of clinical urgency [0.03%]
评估早期公共大型语言模型生成的针对视网膜特定眼科咨询在不同临床紧急程度下的效果
Dominic M Choo,Tyler A Durham,Kishan G Patel
Dominic M Choo
Purpose: To evaluate how the quality of retina-specific ophthalmology counseling provided by an early publicly available large language model (LLM) differs when advising patients with varying clinical characteristics and ...
A personalized and automated real-time meal detection algorithm based on continuous glucose monitoring and heart rate data for individuals with post-bariatric hypoglycemia [0.03%]
基于连续葡萄糖监测和心率数据的术后低血糖患者个性化实时膳食检测算法
Luca Cossu,Giacomo Cappon,Felix Wortmann et al.
Luca Cossu et al.
Introduction: Continuous glucose monitoring (CGM) sensors are increasingly used to identify and manage post-bariatric hypoglycemia (PBH) and to support decision support systems (DSSs) for proactive glucose management. Des...
Exploring an AI-driven dynamic triage system for real-time patient risk reassessment in emergency departments in low-resource settings [0.03%]
探究在资源匮乏环境下用于急诊科实时患者风险重新评估的基于人工智能的动态分诊系统
Kelechi John Nwadinigwe,Malik Olatunde Oduoye,Minal Jehan et al.
Kelechi John Nwadinigwe et al.
Background: Emergency department (ED) overcrowding is a global challenge, particularly acute in low-resource settings, where staff and equipment shortages exacerbate inefficiencies. Conventional triage systems are static ...
Patient-operated imaging for clinical assessment: regulatory and reimbursement challenges in European health systems [0.03%]
患者操作的影像学在欧洲卫生系统中的临床评估：监管和报销挑战
Chifra Fenton,Charles Tibi,Jacob Glazer et al.
Chifra Fenton et al.
Background: Patient-operated medical technologies are increasingly integrated into European care. Under EU regulation, CE marking confirms safety and performance for each specific intended use, while reimbursement require...
From voice biomarkers to telemedicine screening: developing and evaluating a voice-based AI model for laryngeal lesion detection using the Bridge2AI-Voice dataset [0.03%]
从语音生物标志物到远程医疗筛查：使用Bridge2AI-Voice数据集开发和评估基于语音的AI模型以检测声带病变
Phillip D Jenkins,Steven Bedrick,Lisa Karstens et al.
Phillip D Jenkins et al.
Background: The human voice contains rich acoustic information indicative of laryngeal pathology, yet current screening relies on resource-intensive in-person laryngoscopy. While artificial intelligence has shown promise ...
Empowering healthier lifestyles: patterns of digital tool use, self-efficacy, and affective balance in IBD-patients and a community sample [0.03%]
赋能健康生活方式：IBD患者和社区样本中的数字工具使用模式、自我效能感和情感平衡关系研究
Blanka Festő,Beatrix Rafael,Ábel Molnár et al.
Blanka Festő et al.
Background: When reaching health-related personal strivings, consistent self-management is crucial, which can be supported by digital technology use and online resources. Prior research highlights the importance of self-e...
Transfer learning and vision transformer for the automatic diagnosis of cataracts in ophthalmological images [0.03%]
迁移学习和视觉变压器在眼科图像白内障自动诊断中的应用
Hugo Vega-Huerta,Camila Isabela Cuba-Aquino,Gari Mario Suca-Mariño et al.
Hugo Vega-Huerta et al.
Introduction: Cataracts continue to be the leading cause of preventable blindness worldwide and represent a significant public health challenge, particularly in rural and underserved regions where access to ophthalmology ...
From " assistant" to " autonomous": legal liability and ethical traceability frameworks for generative AI in clinical misdiagnosis scenarios, with a special focus on paediatrics [0.03%]
从“辅助”到“自主”：生成式人工智能在临床上诊断错误场景中的法律责任和伦理追溯框架（重点关注儿科）
Shiyi Xu
Shiyi Xu
The integration of Large Language Models (LLMs) into clinical workflows has blurred the boundary between passive decision-support tools and systems capable of autonomous diagnostic reasoning. Current regulatory instruments-including the US ...