Latest AI and machine learning research in parkinson's disease for healthcare professionals.
OBJECTIVE: We developed and investigated the feasibility of a machine learning-based automated ratin...
The partial phase synchronization (sometimes called cooperation) of neurons is fundamental for the u...
A wearable sensor system is available for monitoring of bradykinesia in patients with Parkinson's di...
BACKGROUND: Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective treatment ...
PURPOSE: To investigate whether Parkinson's disease (PD) can be differentiated from healthy controls...
PURPOSE: Our aim was to develop and validate a machine learning (ML)-based approach for interpretati...
Recent studies have been inspired by natural whiskers for a proposal of tactile sensing system to au...
Head motion during MRI acquisition presents significant challenges for neuroimaging analyses. In thi...
Psychosis is the most common neuropsychiatric side-effect of dopaminergic therapy in Parkinson's dis...
Big data and its approaches are generally helpful for healthcare and biomedical sectors for predicti...
The robotic system has overcome some laparoscopic shortcomings, such as stereoscopic 3D-magnified vi...
BACKGROUND: Computer vision can measure movement from video without the time and access limitations ...
Bioelectric medicine leverages natural signaling pathways in the nervous system to counteract organ ...
Due to its importance in clinical science, the estimation of physiological states (e.g., the severit...
Parkinson's Disease (PD) is the second most common neurodegenerative disorder, affecting more than 1...
As enzymes in the outer membrane of the mitochondrion, monoamine oxidases (MAOs) can catalyze the ox...
Accurate diagnosis of Parkinson's Disease (PD) at its early stages remains a challenge for modern cl...
BACKGROUND: Although risk factors that lead to falling in Parkinson's disease (PD) have been previou...
Currently, laparoscopic adrenalectomy is worldwide considered the gold standard technique. Both tran...
Neurotoxicity studies are important in the preclinical stages of drug development process, because e...
Animal models of human disease provide an system that can reveal molecular mechanisms by which muta...