Latest AI and machine learning research in parkinson's disease for healthcare professionals.
Intrinsically disordered proteins (IDPs) are proteins without a fixed three-dimensional (3D) structu...
In this study, an inter-fraction organ deformation simulation framework for the locally advanced cer...
Acute activation of innate immune response in the brain, or neuroinflammation, protects this vital o...
Predicting Unified Parkinson's Disease Rating Scale (UPDRS) in Total- UPDRS and Motor-UPDRS clinical...
Optimal placement of deep brain stimulation (DBS) therapy for treating movement disorders routinely ...
Hand tremor is one of the dominating symptoms of Parkinson's disease (PD), which significantly limit...
Now that wearable sensors have become more commonplace, it is possible to monitor individual healthc...
In order to study the therapeutic neuroprotective effect of deep brain stimulation (DBS) in Parkinso...
Gait analysis is used in research and clinical environments; yet several limitations exist in curren...
Fine motor impairments are frequent complaints in people with Parkinson's disease (PD). While they m...
This work is implemented for the management of patients with epilepsy, and methods based on electroe...
While most insect-inspired robots come with a simple tarsus, such as a hemispherical foot tip, insec...
The use of robotic-assisted keyhole surgery in gynaecology has expanded in recent years owing to tec...
With the widespread dissemination of robotic surgical platforms, pathologies that were previously de...
Faced with the AI (artificial intelligence) era, it is both theoretically and practically important ...
Robotic surgery provides significant advantages in terms of an optimal three-dimensional and magnifi...
BACKGROUND: Microsurgery allows complex reconstruction of tissue defects after oncological resection...
BACKGROUND: A number of stereotactic platforms are available for performing deep brain stimulation (...
Parkinson's disease is characterized by abnormal gait, which worsens as the condition progresses. Al...
OBJECTIVES: We proposed a novel deep learning-based radiomics (DLR) model to diagnose Parkinson's di...
BACKGROUND: The use of multi-modal features for improving the diagnosing accuracy of Parkinson's dis...