User acceptance of telerehabilitation in Germany: a structural equation modeling approach based on the UTAUT2 model [0.03%]
基于德国的UTAUT2模型的远程康复技术用户接受度的结构方程模型方法研究
Susanne Stampa,Oliver Razum,Christoph Dockweiler
Susanne Stampa
Introduction: The use of telerehabilitation in the field of medical rehabilitation is increasing, particularly following the coronavirus pandemic, which accelerated the digitization of rehabilitation services. Patient acc...
Longitudinal voice biomarker trajectory modelling for Parkinson's disease severity: domain-adaptive transfer learning on mPower real-world smartphone data [0.03%]
基于mPower真实世界智能手机数据的域自适应迁移学习的纵向帕金森病严重程度语音生物标志物轨迹建模
Deepika Roselind Johnson,G Logeswari
Deepika Roselind Johnson
Introduction: Speech and voice changes affect up to 90% of people with Parkinson's disease (PD), a progressive neurodegenerative disorder affecting approximately 10 million people worldwide. Although continuous monitoring...
Wearable-derived cardiovascular fitness age and its lifestyle correlates in 442 adults [0.03%]
来自可穿戴设备的成人受试者心血管健身年龄及其生活方式相关性研究(共442例)
Aditi Shanmugam,Kanika Gupta,Nihav Dhawale et al.
Aditi Shanmugam et al.
Introduction: Cardiovascular age is a powerful risk-communication tool that translates complex physiological data into an intuitive number, yet traditional estimates require clinical testing. Consumer wearables now estima...
An overview of mobile health applications (mHealth apps) supporting Tuberculosis elimination efforts [0.03%]
支持结核病防治工作的移动应用程序概览
Karikalan Nagarajan,Nickson Rajamani,Shelshia Muniappan et al.
Karikalan Nagarajan et al.
Background: The rapid advancement of mobile health applications (mHealth Apps) is increasingly realised for their transformative potential in strengthening healthcare systems, patient centred approaches and improving TB e...
Integrating clinical decision support systems, nursing vigilance, and physician prescribing patterns to reduce preventable adverse drug events: a structured evidence-based narrative review on human-AI interface in medication safety [0.03%]
基于证据的叙事综述：利用临床决策支持系统、护理警惕性和医师处方模式减少可预防的药物相关伤害：关于人类-AI界面在用药安全中的作用结构化证据综合回顾
Manar Fayez Alruwaili,Ugwu Okechukwu Paul-Chima,Ugwu Chinyere Nneoma
Manar Fayez Alruwaili
Background: Preventable adverse drug events (ADEs) remain a major source of hospital morbidity, mortality, and healthcare costs worldwide. Clinical decision support systems (CDSS) integrated into electronic health records...
A testable framework linking diagnostic AI contribution to outcome measurement in clinical decision support [0.03%]
一个可验证的框架：将诊断人工智能贡献与临床决策支持中的结果测量联系起来
Jan Kirchhoff,Fabian Berns,Christian Schieder et al.
Jan Kirchhoff et al.
Artificial intelligence-enabled clinical decision support systems (AI-CDSS) are increasingly embedded in diagnostic and therapeutic workflows, yet evaluation, procurement, and governance often remain anchored in model-centric indicators suc...
Intra-Session recurrence in intradialytic hypotension prediction: evaluation implications and recurrence-aware modeling [0.03%]
透析中低血压的时内复发性及其评价和建模的意义
Siun Kim,Jiwon Ryu,Sejoong Kim et al.
Siun Kim et al.
Background: Real-time prediction of intradialytic hypotension (IDH) using deep learning has shown high accuracy; however, existing models typically treat all IDH events equally, without distinguishing between initial and ...
Profile-associated financial and access-related framing in LLM-generated pediatric asthma referral plans: a factorial audit of seven large language models [0.03%]
基于个人资料的财务和访问相关框架在LLM生成的儿童哮喘转诊计划中的应用：七种大型语言模型的因子审计
Zhendong Liu,Xiaoping Yang,Yu Zhang et al.
Zhendong Liu et al.
Background: Large language models (LLMs) are increasingly considered for clinical documentation, referral support, and patient-facing communication. Biomedical accuracy alone may be insufficient for safe deployment if gen...
Health economic evaluations of digital health technologies-a rapid review of applied methods [0.03%]
数字化健康技术的卫生经济学评估——应用方法快速回顾研究报告
Alessandro Campione,Milan Zetzsche,Tanja Rombey et al.
Alessandro Campione et al.
Introduction: Digital health technologies (DHTs) offer significant potential to improve healthcare delivery, efficiency and outcomes. Despite increasing uptake, their full potential remains underused, partly because exist...
Correction: Influencing public acceptance of artificial intelligence (AI) in healthcare delivery [0.03%]
关于“影响公众对医疗保健领域人工智能接受程度”的更正文章
Selin Aras,Calvin Drakos,Vineesha Manimangalam et al.
Selin Aras et al.
[This corrects the article DOI: 10.3389/fdgth.2025.1664345.]. Keywords: artificial intelligence; behavioral ...
Published Erratum
Frontiers in digital health. 2026 Jul 2:8:1895761. DOI:10.3389/fdgth.2026.1895761 2026