Exploring digital health user engagement: General app usage patterns from a clinical trial with the mLab App [0.03%]
探索数字健康用户参与度：来自mLab应用临床试验的通用应用程序使用模式
Thomas F Scherr,Austin Hardcastle,Carson P Moore et al.
Thomas F Scherr et al.
The number of digital health applications has rapidly grown over recent years, but many of them are limited by sustainability and scalability. Paradata, the detailed interactions of a user with a piece of software, is straightforward to col...
Digital innovations and health information systems: Lessons learned from implementing ALMANACH in Nigeria [0.03%]
数字创新与卫生信息系统：尼日利亚实施ALMANACH项目的经验教训
Andrea Bernasconi,Daniel Ishaya,Ibrahim Sahabo et al.
Andrea Bernasconi et al.
In low- and middle-income settings, routine health information systems (RHIS) and digital health projects often coexist, but their epidemiological outputs are rarely compared-even though integrating digital tools could strengthen RHIS by re...
Effects of a digital psychosocial intervention on somatic complaints, sleep latency problems, and body size perceptions in youth after parental separation: A randomized controlled trial [0.03%]
数字化心理社会干预对家长分离后青年躯体痛苦、入睡困难和体型感知的影响：一项随机对照试验
Andreas Nielsen Hald,Daniel Bach Johnsen,Gert Martin Hald et al.
Andreas Nielsen Hald et al.
Parental relationship dissolution is a disruptive event in children and adolescents' lives that can negatively affect mental health, psychosocial adjustment, and everyday well-being. Psychosocial interventions are typically evaluated using ...
Sunscreen is overwhelmingly promoted on TikTok, but content with misinformation exhibits proportionally high levels of audience interaction [0.03%]
抖音上防晒产品广告泛滥但防晒误解互动率更高
Alessandro Marcon,Marco Zenone,Vincenza Boniface et al.
Alessandro Marcon et al.
This study examined the presence, engagement levels, and characteristics of sunscreen-related misinformation on TikTok. We conducted a content analysis on 971 of the most viewed TikTok videos across the five most popular and relevant sunscr...
Large language models perpetuate bias in palliative care: Development and analysis of the Palliative Care Adversarial Dataset (PCAD) [0.03%]
大型语言模型在姑息治疗中加剧偏见：Palliative Care Adversarial Dataset（PCAD）的开发与分析
Naomi Akhras,Fares Antaki,Fannie Mottet et al.
Naomi Akhras et al.
Bias and inequity in palliative care disproportionately affect marginalised groups. Large language models (LLMs), such as GPT-4o, hold potential to enhance care but risk perpetuating biases present in their training data. This study aimed t...
Digital measurement of ocular microtremor in Parkinson's Disease: Analytical and clinical validation [0.03%]
帕金森病的数字测眼微颤方法的分析及临床验证研究
Lisa Graham,Rodrigo Vitorio,Patrick Tait et al.
Lisa Graham et al.
Ocular microtremor (OMT) is an involuntary fixational eye movement linked to brainstem activity. OMT is thought to have a mean frequency range of 70-90 Hz in healthy adults. Previous research suggests OMT may be reduced in neurological dise...
Discriminating HFrEF vs HFpEF from chest radiographs: Mitigating demographic performance gaps via augmentation and multimodal fusion [0.03%]
基于胸部X光图鉴别HFrEF和HFpEF：通过数据增强和多模态融合缓解人口统计性能差距
Han-Jay Shu,Chao-Ju Chen,Liam G McCoy et al.
Han-Jay Shu et al.
Deep learning models applied to chest radiography have shown promise for cardiac phenotyping, yet concerns remain regarding demographic performance disparities and deployment robustness. In this proof-of-concept study, we present a fairness...
Augmenting large language models with clinical knowledge graph for personalized perioperative fluid therapy question answering [0.03%]
基于临床知识图谱增强的大语义模型在个性化围手术期液体治疗问答中的应用
Jie Song,Jinhua Feng,Yuxin Zhang et al.
Jie Song et al.
Personalized perioperative fluid therapy is important for reducing postoperative complications and adverse outcomes. Although large language models (LLMs) show promise in healthcare, their application in fluid therapy remains challenged by ...
Clinical artificial intelligence applications of vision-language foundation models [0.03%]
视觉语言基础模型的临床人工智能应用
Arun James Thirunavukarasu,Siyou Li,Pengyao Qin et al.
Arun James Thirunavukarasu et al.
Vision-language models (VLMs) represent a transformative advance in generative artificial intelligence (AI), using multimodal data processing to enhance clinical decision-making and workflow efficiency. Built on transformer architectures, V...
A digital twin approach for simultaneous reconstruction of brain anatomy and dynamics from neural data [0.03%]
基于神经数据同时重建大脑解剖和动态的数字孪生方法
Michelangelo Fabbrizzi,Lorenzo Gaetano Amato,Leonardo Martinelli et al.
Michelangelo Fabbrizzi et al.
Brain structure plays a pivotal role in shaping neural dynamics. Current models lack the anatomical and functional resolution needed to integrate whole-brain structure and dynamics within a unified computational framework. Here, we introduc...