Effect of a Spinal Orthosis With Leaf Spring and Programmable Local Vibration on Kyphosis Angle and Trunk Muscle Strength in Hyperkyphosis: Development and Feasibility Study [0.03%]
一种带有叶弹簧和可编程局部振动的脊柱矫形器对高驼背患者后凸角度及躯干肌力影响的研发与可行性研究
Fatemeh Keshavarzi,Mokhtar Arazpour,Saeed Behzadipour
Fatemeh Keshavarzi
Background: The application of spinal orthoses and local vibration in the treatment of hyperkyphosis is a developing concept. Further research is needed to determine the impact of leaf springs and local vibration techniqu...
Psychosocial Stress in the Chinese Community: Speech Analytics Through Linguistic and Acoustic Fusion Using Machine Learning [0.03%]
社区心理社会压力的语言和声学融合分析：利用机器学习进行演讲分析
Amanda M Y Chu,Benson S Y Lam,Jenny T Y Tsang et al.
Amanda M Y Chu et al.
Background: Family caregivers experience significant stress due to intensive caregiving activities, making them highly susceptible to adverse psychosocial health conditions. Early detection of this stress is crucial for t...
Remote Monitoring of Bioelectrical Impedance in Patients With Breast Cancer-Related Lymphedema: 1-Year Pilot Longitudinal Study [0.03%]
乳腺癌相关淋巴水肿患者的生物阻抗远程监测：为期一年的纵向试点研究
Lori Bravi,Cheri Teranishi-Hashimoto,Elena A C MacDonald et al.
Lori Bravi et al.
Background: Breast cancer-related lymphedema (BCRL) is a chronic complication that impairs quality of life through persistent fluid accumulation. While clinical guidelines recommend longitudinal surveillance, implementati...
Age-Related Differences in Joint Kinematics and Spatiotemporal Parameters During Ramp Walking and Level Walking: Cross-Sectional Study [0.03%]
斜坡行走和平地行走时关节运动学和时空参数的年龄差异：横断面研究
Daiki Shimotori,Soshi Fujisawa,Masahiro Nishimura et al.
Daiki Shimotori et al.
Background: Gait function is essential for mobility and independence in older adults. Although age-related gait decline on level walking has been studied extensively, there is less information on how aging affects gait du...
Assessing the Safety and Efficacy of a Noninvasive Device in the Management of Musculoskeletal Pain Using Low-Level Light Therapy: Double-Blinded, Randomized, Placebo-Controlled, Multicentric Study [0.03%]
低水平光疗镇痛仪治疗疼痛的多中心随机双盲对照试验
Surya Prakash Maguluri,Vinod Kumar Penubakala,Sai Laxman Anne et al.
Surya Prakash Maguluri et al.
Background: Musculoskeletal pain significantly impacts quality of life and daily functioning. Light-based therapies, including those using red and infrared wavelengths, have shown potential in pain management due to their...
Increasing Large Language Model Accuracy for Care-Seeking Advice Using Prompts Reflecting Human Reasoning Strategies in the Real World: Validation Study [0.03%]
利用反映现实世界的人类推理策略的提示增加大型语言模型在寻医问药建议方面的准确性：验证研究
Marvin Kopka,Markus A Feufel
Marvin Kopka
Background: Current prompting techniques for large language models (LLMs), such as ChatGPT, mainly focus on well-structured, low-uncertainty problems; yet, many real-world tasks (eg, care-seeking decisions) are ill-define...
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...