Conceptual Model for the Integration of Marketing Strategies and Biomedical Innovation in Patient-Centered Care: Mixed Methods Study [0.03%]
以患者为中心的护理中市场营销策略和生物医学创新整合的概念模型：混合研究方法研究
Atantra Das Gupta,Yashpal Yadav
Atantra Das Gupta
Background: The increasing integration of biomedical technology and digital marketing is quickly transforming how patients engage with health care. The patient as an organization (PAO) model is explored in this study. The...
Noise-Resilient Bioacoustics Feature Extraction Methods and Their Implications on Audio Classification Performance: Systematic Review [0.03%]
鲁棒声学特征提取方法及其对音频分类性能影响的系统综述
Geofrey Owino,Bernard Shibwabo
Geofrey Owino
Background: Bioacoustics classification plays a crucial role in ecological surveillance and neonatal health monitoring. Infant cry analysis can aid early health diagnostics, while ecological acoustics informs conservation...
Challenges and Solutions in Applying Large Language Models to Guideline-Based Management Planning and Automated Medical Coding in Health Care: Algorithm Development and Validation [0.03%]
基于指南的医疗管理规划和自动化医学编码中应用大规模语言模型所面临的挑战及解决方案：算法开发与验证
Peter Sarvari,Zaid Al-Fagih,Alexander Abou-Chedid et al.
Peter Sarvari et al.
Background: Diagnostic errors and administrative burdens, including medical coding, remain major challenges in health care. Large language models (LLMs) have the potential to alleviate these problems, but their adoption h...
Advancing Brain-Computer Interface Closed-Loop Systems for Neurorehabilitation: Systematic Review of AI and Machine Learning Innovations in Biomedical Engineering [0.03%]
基于人工智能和机器学习的神经康复脑机接口闭环系统研究综述
Christopher Williams,Fahim Islam Anik,Md Mehedi Hasan et al.
Christopher Williams et al.
Background: Brain-computer interface (BCI) closed-loop systems have emerged as a promising tool in health care and wellness monitoring, particularly in neurorehabilitation and cognitive assessment. With the increasing bur...
Thigh-Worn Sensor for Measuring Initial and Final Contact During Gait in a Mobility Impaired Population: Validation Study [0.03%]
髋部佩戴式传感器在行动不便人群中测量步态初期和末期接触的验证研究
Thomas Johnson,Janeesata Kuntapun,Craig Childs et al.
Thomas Johnson et al.
Background: Adapting physical activity monitors to detect gait events (ie, at initial and final contact) has the potential to build a more personalized approach to gait rehabilitation after stroke. Meeting laboratory stan...
Mihir Tandon,Nitin Chetla,Adarsh Mallepally et al.
Mihir Tandon et al.
[This corrects the article DOI: 10.2196/67481.]. ©Mihir Tandon, Nitin Chetla, Adarsh Mallepally, Botan Zebari, Sai Samayamanthula, Jonathan Silva, Swapn...
Published Erratum
JMIR biomedical engineering. 2025 Sep 12:10:e82980. DOI:10.2196/82980 2025
Estimation of Brachial-Ankle Pulse Wave Velocity With Hierarchical Regression Model From Wrist Photoplethysmography and Electrocardiographic Signals: Method Design [0.03%]
基于腕部光电容积描记和心电图信号的分层回归模型下的臂踝脉波速度估计：方法设计
Chih-I Ho,Chia-Hsiang Yen,Yu-Chuan Li et al.
Chih-I Ho et al.
Background: Photoplethysmography (PPG) signals captured by wearable devices can provide vascular age information and support pervasive and long-term monitoring of personal health condition. ...
Using Vibration for Secure Pairing With Implantable Medical Devices: Development and Usability Study [0.03%]
振动技术在植入式医疗设备配对中的安全性研究与发展及可用性研究
Mo Zhang,Chaofan Wang,Weiwei Jiang et al.
Mo Zhang et al.
Background: Implantable medical devices (IMDs), such as pacemakers, increasingly communicate wirelessly with external devices. To secure this wireless communication channel, a pairing process is needed to bootstrap a secr...
Influence of Pre-Existing Pain on the Body's Response to External Pain Stimuli: Experimental Study [0.03%]
既往疼痛对外痛刺激机体反应的影响：一项实验研究
Burcu Ozek,Zhenyuan Lu,Srinivasan Radhakrishnan et al.
Burcu Ozek et al.
Background: Accurately assessing pain severity is essential for effective pain treatment and desirable patient outcomes. In clinical settings, pain intensity assessment relies on self-reporting methods, which are subjecti...
Optimizing Voice Sample Quantity and Recording Settings for the Prediction of Type 2 Diabetes Mellitus: Retrospective Study [0.03%]
优化语音样本数量和录音设置以预测2型糖尿病：回顾性研究
Atousa Assadi,Jessica Oreskovic,Jaycee Kaufman et al.
Atousa Assadi et al.
Background: The use of acoustic biomarkers derived from speech signals is a promising non-invasive technique for diagnosing type 2 diabetes mellitus (T2DM). Despite its potential, there remains a critical gap in knowledge...