A Deep Learning Framework for Predicting Patient Decannulation on Extracorporeal Membrane Oxygenation Devices: Development and Model Analysis Study [0.03%]
一种预测接受体外膜氧合装置患者拔管的深度学习框架：发展与模型分析研究
Joshua Fuller,Alexey Abramov,Dana Mullin et al.
Joshua Fuller et al.
Background: Venovenous extracorporeal membrane oxygenation (VV-ECMO) is a therapy for patients with refractory respiratory failure. The decision to decannulate someone from extracorporeal membrane oxygenation (ECMO) often...
Assessment of Skin Maturity by LED Light at Birth and Its Association With Lung Maturity: Clinical Trial Secondary Outcomes [0.03%]
出生时用LED灯评估皮肤成熟度及其与肺成熟度的关系：临床试验次要结果
Gabriela Silveira Neves,Zilma Silveira Nogueira Reis,Roberta Romanelli et al.
Gabriela Silveira Neves et al.
Background: Clinicians face barriers when assessing lung maturity at birth due to global inequalities. Still, strategies for testing based solely on gestational age to predict the likelihood of respiratory distress syndro...
Democratizing Global Health Care Through Scalable Emergent (Beyond the Mobile) Wireless Technologies [0.03%]
通过可扩展的无线技术民主化全球医疗保健
Graham B Jones,Andrew Bryant,Justin Wright
Graham B Jones
Advances in mobile phone technologies coupled with the availability of modern wireless networks are beginning to have a marked impact on digital health through the growing array of apps and connected devices. That said, limited deployment o...
Transforming Rapid Diagnostic Tests for Precision Public Health: Open Guidelines for Manufacturers and Users [0.03%]
精准公共卫生下的快速诊断试验转化：制造商和用户指南开放式原则
Peter Lubell-Doughtie,Shiven Bhatt,Roger Wong et al.
Peter Lubell-Doughtie et al.
Background: Precision public health (PPH) can maximize impact by targeting surveillance and interventions by temporal, spatial, and epidemiological characteristics. Although rapid diagnostic tests (RDTs) have enabled ubiq...
Investigation of Deepfake Voice Detection Using Speech Pause Patterns: Algorithm Development and Validation [0.03%]
基于说话停顿模式的深度伪造语音检测算法研究与验证
Nikhil Valsan Kulangareth,Jaycee Kaufman,Jessica Oreskovic et al.
Nikhil Valsan Kulangareth et al.
Background: The digital era has witnessed an escalating dependence on digital platforms for news and information, coupled with the advent of "deepfake" technology. Deepfakes, leveraging deep learning models on extensive d...
Ravi Iyer,Denny Meyer
Ravi Iyer
Background: In an age when telehealth services are increasingly being used for forward triage, there is a need for accurate suicide risk detection. Vocal characteristics analyzed using artificial intelligence are now prov...
Finite Element Analysis for Degenerative Cervical Myelopathy: Scoping Review of the Current Findings and Design Approaches, Including Recommendations on the Choice of Material Properties [0.03%]
颈椎脊髓病有限元分析：目前发现和设计方法的综述性研究，包括对材料属性选择的建议
Benjamin Davies,Samuel Schaefer,Amir Rafati Fard et al.
Benjamin Davies et al.
Background: Degenerative cervical myelopathy (DCM) is a slow-motion spinal cord injury caused via chronic mechanical loading by spinal degenerative changes. A range of different degenerative changes can occur. Finite elem...
The Variability of Lumbar Sequential Motion Patterns: Observational Study [0.03%]
腰椎连续运动模式的变异性：观察性研究
Inge Caelers,Toon Boselie,Wouter van Hemert et al.
Inge Caelers et al.
Background: Physiological motion of the lumbar spine is a topic of interest for musculoskeletal health care professionals since abnormal motion is believed to be related to lumbar complaints. Many researchers have describ...
Measuring Heart Rate Accurately in Patients With Parkinson Disease During Intense Exercise: Usability Study of Fitbit Charge 4 [0.03%]
帕金森病患者在剧烈运动中心率的准确测量：FitbitCharge4应用性研究
Giulia Colonna,Jocelyn Hoye,Bart de Laat et al.
Giulia Colonna et al.
Background: Parkinson disease (PD) is the second most common neurodegenerative disease, affecting approximately 1% of the world's population. Increasing evidence suggests that aerobic physical exercise can be beneficial i...
A Novel Framework for Mixed Reality-Based Control of Collaborative Robot: Development Study [0.03%]
一种基于混合现实的协作机器人控制框架：研发研究
Md Tanzil Shahria,Md Samiul Haque Sunny,Md Ishrak Islam Zarif et al.
Md Tanzil Shahria et al.
Background: Applications of robotics in daily life are becoming essential by creating new possibilities in different fields, especially in the collaborative environment. The potentials of collaborative robots are tremendo...