Latest AI and machine learning research in parkinson's disease for healthcare professionals.
Our long-term goal is to enable a robot to engage in partner dance for use in rehabilitation therapy...
Recently, there has been an increasing emphasis on applications of pattern recognition and neuroimag...
In this study, a miniature artificial compound eye (15 mm in diameter) called the curved artificial ...
BACKGROUND: Robotic technology commenced to be adopted for the field of general surgery in the 1990s...
OBJECTIVE: The main aim was to compare robotic gait training vs. balance training for reducing postu...
Escherichia coli features low cost, mature fermentation technology and high recombinant protein outp...
As two most prevalent neurodegenerative diseases (NDDs), Alzheimer's disease (AD) and Parkinson's di...
Advances in electronic health records (EHR) and large-scale critical care databases have enabled the...
Participant-disjoint cross-validation prevents direct participant overlap, but it may still produce ...
We study forecasting rigid-body motion from a single image: generating diverse and physically plausi...
Video-to-robot pipelines for quadrupedal imitation insert a learned lifting stage, either a monocula...
Separating Alzheimer's Disease (AD), Parkinson's Disease (PD), and Healthy Controls (HC) using struc...
Parkinson's disease (PD) gait is characterized by reduced walking speed, short shuffling steps, incr...
Computer vision approaches to disease motor assessment are limited by clinical video dataset scarcit...
Foundation models for colour fundus photography (CFP) are candidate visual encoders for multimodal m...
Background: Wearable sensing and machine learning can support objective assessment of Parkinson's di...
As AI is increasingly used to stratify heterogeneous Parkinsons disease, it is essential to determin...
Parkinsons disease (PD) exhibits considerable variability in symptom onset, severity, and clinical t...
Non-invasive deep-brain stimulation (DBS) using transcranial alternating current stimulation (tACS) ...
Digital health technology (DHT) enables to detect and quantify charateristics motor dysfunction in P...
Monocular colonoscopic 3D reconstruction is important for surgical robotic colonoscopy, but remains ...