Journal of neuroengineering and rehabilitation
Nov 17, 2025
BACKGROUND: This study aimed to evaluate the effects of an end-effector-type upper-limb robot-assisted therapy (UL-RAT) combined with pneumatic gloves (PGs) on improving upper limb function in young and middle-aged stroke patients.
Biofeedback-based treadmill training generally involves 10 or more sessions to assess its effectiveness during stroke rehabilitation. Improvements are seen in some patients during the assessment, while others do not progress. Our aim in this study is...
Journal of the American Heart Association
Nov 11, 2025
BACKGROUND: Despite the established link between metabolic syndrome (MetS) and stroke incidence, the effects of dynamic and cumulative MetS scores on stroke risk among middle-aged and older populations in China remain inadequately explored. Furthermo...
BACKGROUND: Stroke remains a major global public health concern and a leading cause of death, disability, and dementia. Despite being the most important and modifiable risk factor for stroke, Blood pressure (BP) management remain controversial and ch...
BACKGROUND: Stroke has become a global public health problem due to its high incidence, disability, and mortality. In China, TikTok and Bilibili, as mainstream video-sharing platforms, serve as key sources of getting stroke-related information for pe...
Acute ischemic stroke is a major global health challenge, leading to long-term disability or death without timely intervention. Among neuroimaging modalities, spatio-temporal (4D) computed tomography perfusion (CTP) is widely used to assess cerebral ...
Journal of neuroengineering and rehabilitation
Oct 29, 2025
BACKGROUND: The therapeutic effect and underlying mechanism of combining transcranial direct current stimulation (tDCS) with robot-assisted gait training (RAGT) for stroke patients remain unclear.
BACKGROUND: A majority of AI ethics frameworks focus on high-level principles but lack actionable guidance. Effectively implementing AI in projects requires the operationalization of AI ethics, translating principles into requirements. This paper pro...
Journal of neuroengineering and rehabilitation
Oct 27, 2025
BACKGROUND: Early prediction of upper limb recovery is important to optimise rehabilitation and inform patients but remains challenging due to inter-individual variability. This study aims to (1) develop and validate a machine learning model to predi...
BACKGROUND: Integrating large language models (LLMs) with virtual patient platforms offers a novel approach to teaching clinical reasoning. This study evaluated the performance and educational value of combining Body Interact with two AI models, Chat...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.