Impact of Virtual Reality-Based Serious Games on Cognitive-Motor Rehabilitation for Stroke Patients in Daily Activities: Protocol for a Randomized Trial [0.03%]
基于虚拟现实的严肃游戏对卒中患者日常生活中的认知-运动康复的影响：随机对照试验方案
Vahid Fatehi,Zahra Salahzadeh,Mehdi Farhoudi et al.
Vahid Fatehi et al.
Background and purpose: Stroke is among the most prevalent medical conditions and often leads to persistent complications within the central nervous system. It results in both physical and cognitive impairments that can s...
Peripheral Muscle Strength and Pulmonary Function Negatively Impact Functional Capacity in Patients With Post-Tuberculosis Lung Disease: A Cross-Sectional Study [0.03%]
外周肌肉力量和肺功能对肺结核后遗症患者功能容量的负面影响：一项横断面研究
Aline Mendes Leal Rodrigues de Souza,Davi Luiz Olimpio da Silva,Matheus Mello da Silva et al.
Aline Mendes Leal Rodrigues de Souza et al.
Background and purpose: Tuberculosis primarily affects the lungs, and many patients experience sequelae, including loss of lung function and a decline in health-related quality of life (HRQoL), despite bacteriological cur...
Psychometric Properties of a Turkish Version of the Assessment of Physiotherapy Practice Tool [0.03%]
作业治疗实践评估工具的土耳其版本的心理测量属性
Furkan Cakir,Ilksan Demirbuken,Ender Ersin Avci et al.
Furkan Cakir et al.
Background and purpose: Assessment of physiotherapy undergraduate students in clinical placement is academically important and holds practical value. This study aimed to translate the Assessment of Physiotherapy Practice ...
Association Between Patient-Specific Factors and the Therapeutic Relationship in Direct Access Physiotherapy for Higher Education Students-An Observational Cross-Sectional Study [0.03%]
高等教育学生直接准入物理治疗中的患者特异性因素与医患关系之间的联系：一项观察性横断面研究
Heidi Emilia Riska,Jaro Ilari Karppinen,Mia Eveliina Heikkala et al.
Heidi Emilia Riska et al.
Background and purpose: Musculoskeletal (MSK) pain is a common issue among higher education students and is often linked to poor physical function and a high psychosocial burden. In direct access physiotherapy, a patient-...
Reliability and Validity of Upper Limb Muscle Strength Measurements by Handheld Dynamometer in Patients With Chronic Obstructive Pulmonary Disease [0.03%]
手握力动力计测量慢性阻塞性肺疾病患者上肢肌肉力量的可靠性和有效性
Loïc Péran,Anne Cécile Berriet,Catherine Le Ber et al.
Loïc Péran et al.
Background and purpose: International respiratory societies recommend upper limb muscle strengthening in patients with chronic obstructive pulmonary disease (COPD). To design an adapted and effective muscle strengthening ...
Early Neuromuscular Electrical Stimulation and In-Bed Leg Cycling Preserve Quadriceps Femoris Muscle Thickness in Critically Ill Patients [0.03%]
早期神经肌肉电刺激和在床腿脚踏车运动可保持重症患者股四头肌厚度
Bruna Scherer Lorenzoni,Marina Torres Machado,Maurício Tatsch Ximenes Carvalho et al.
Bruna Scherer Lorenzoni et al.
Background and purpose: Muscle atrophy occurs early in critical illness, particularly in the leg muscles, which are most vulnerable to weakness due to immobility in the intensive care unit (ICU). However, the efficacy of ...
Does the Scientific Literature on Fractures Support Evidence-Based Physiotherapy? Mapping the Evidence on the PEDro Platform [0.03%]
骨折的循证物理治疗有科学依据吗？PEDro平台上的证据分布分析
Aline Miranda Ferreira,Raquel Metzker Mendes Sugano,Ana Carolina Carmona Vendramim et al.
Aline Miranda Ferreira et al.
Background: Bone fractures impose significant healthcare costs and are among the musculoskeletal conditions most requiring rehabilitation. Evidence-based practice (EBP) is the recommended approach for ensuring quality and...
Mapping Comorbidities in Patients With Low Back Pain-A Systematic Review [0.03%]
系统评价：低背部疼痛患者的伴随疾病映射
Jacob S Gandløse,Caroline W M Sørensen,Cecilie T Hemmingsen et al.
Jacob S Gandløse et al.
Background and purpose: Low back pain (LBP) frequently co-occurs with other health conditions, but there is no clear consensus on which comorbidities are most prevalent. This limits understanding of the broader burden and...
Loss-Attention Physics-Informed Neural Networks for Enhanced Deepfake Detection in Medical Image Classification: A Diagnostic Performance Evaluation [0.03%]
基于损失注意力的物理信息神经网络在医学图像分类深度伪造检测中的应用及诊断性能评估
Roshani A Parate,Kirti Jain
Roshani A Parate
Background and purpose: In medical imaging, identifying deepfakes is crucial to identifying altered or fake images, ensuring reliable and authentic medical images, and potentially preventing fraudulent or incorrect diagno...