Adversarial debiasing for age-equitable diabetes prediction: performance-fairness trade-offs and partition dependency in machine learning [0.03%]
用于公平糖尿病预测的对抗去偏方法：机器学习中的性能公平权衡及划分依赖性
Vinod Kumar Yata,Sravanthi Jena,Meera Indracanti et al.
Vinod Kumar Yata et al.
Background: Machine learning models used for diabetes risk prediction may encode age-related biases that reduce diagnostic accuracy for specific demographic groups. Adversarial debiasing with a gradient reversal layer (GR...
Utility of lay and clinical narratives for transparent autism diagnosis using BioBERT deep learning [0.03%]
基于BioBERT深度学习的透明自闭症诊断中民间和临床叙事的效用
Gondy Leroy,Himanshu Nimbarte,Madhuri Sai Kandula et al.
Gondy Leroy et al.
Introduction: Early autism diagnosis remains challenging due to reliance on clinical observation and limited specialist availability. Addressing these barriers through automated diagnostic labeling and the integration of ...
Asynchronous proximal federated aggregation for heterogeneous healthcare networks [0.03%]
异构医疗网络的异步近似联邦聚合方法
Manakkattu Sreelakshmi,Radhakrishnan Delhibabu
Manakkattu Sreelakshmi
Introduction: The deployment of Federated Learning (FL) across the Internet of Medical Things (IoMT) is severely hindered by computational asymmetry and statistical heterogeneity. Traditional synchronous aggregation proto...
From emergence to recoverability: a sociotechnical control trajectory theory of HIT-related risk [0.03%]
从突发到可恢复性：基于HIT相关风险的社会技术控制轨迹理论
Md Shafiqur Rahman Jabin
Md Shafiqur Rahman Jabin
Health information technology (HIT) is deeply embedded in contemporary clinical practice, yet incident-based research continues to show that digital systems can introduce new and sometimes widespread risks to patient safety. While prior stu...
Responsible artificial intelligence in medical imaging: a systematic review [0.03%]
医学影像中负责任的人工智能：系统回顾研究
Nafiz Fahad,Ridwan Jamal Sadib,Rakib Hossain Sajib et al.
Nafiz Fahad et al.
Introduction: Responsible artificial intelligence (AI) in medical imaging requires more than high diagnostic accuracy; it also requires transparent reasoning, equitable performance across patient subgroups, privacy protec...
Associations between multidimensional fatigue and wearable-derived cardio-respiratory variables in post-COVID-19 patients: an observational study [0.03%]
多维度疲劳与新型冠状病毒肺炎康复患者穿戴设备心肺功能指标之间的关系：一项观察性研究
Neusa R Adão Martins,Simon Annaheim,Daniel Büche et al.
Neusa R Adão Martins et al.
Introduction: Psychophysiological research increasingly recognizes the multidimensional nature of subjective experiences such as fatigue and their relevance for autonomic regulation. However, little is known about how dif...
How do domain diversity and healthcare system assumptions shape implementation research? A systematic review of theories, models, and frameworks for health digitalization [0.03%]
领域多样性与医疗系统假设如何塑造实施研究？健康数字化的理论、模型和框架的系统评价
Carla Y Molenaar,Martine C de Bruijne,Marijke Melles et al.
Carla Y Molenaar et al.
Introduction: Health digitalization entails a complex array of actors and roles, including healthcare stakeholders and commercial digital-health innovators. The implementation of digital health innovations (DHIs) is notor...
MSPEECH (multiple sclerosis monitoring through speech interaction in clinic and at home): a Living Lab study protocol for co-created, speech-based digital biomarkers in multiple sclerosis [0.03%]
基于言语的多发性硬化症数字生物标志物共创研究：门诊和居家场景下通过言语互动进行多发性硬化症监测（MSPEECH）的生活实验室研究方案
Tina Lemkau,Hernan Inojosa,Anja Dillenseger et al.
Tina Lemkau et al.
Multiple sclerosis (MS) has heterogeneous trajectories and fluctuating symptoms that are often not captured by intermittent clinic assessments. Digital health tools can provide frequent, low-burden measurements, but clinical translation req...
VR-based nature interventions for health promotion in long-term care facilities (Nature Boost)-a mixed-methods feasibility study protocol [0.03%]
基于VR的自然干预在长期护理机构中的健康促进研究（Nature Boost）——一项混合方法可行性研究方案
Nele Sieverding,Judith Czakert,Steven Ngandeu Schepanski et al.
Nele Sieverding et al.
Aim: To assess the feasibility and acceptability of a virtual reality-based nature intervention in long-term care facilities and explore psychosocial effects ahead of a future randomised controlled trial. ...
Identification and validation of an explainable prediction model of favorable outcome under integrative medicine treatment exposure in DKD adult patients: a retrospective cohort study [0.03%]
基于整合医学疗法的糖尿病肾病成人患者预后模型的识别与验证：回顾性队列研究
Li Jiang,Haojun Zhang,Yanmei Wang et al.
Li Jiang et al.
Background: Diabetic kidney disease (DKD) shows heterogeneous responses to integrative medicine treatment (IMT). A critical unmet need in DKD management is the inability to predict IMT response, which is essential for adv...