Latest AI and machine learning research in parkinson's disease for healthcare professionals.
Parkinson's disease (PD) is a progressive neurodegenerative disease presenting with motor and non-mo...
Telesurgical robot control is a significant example of an uncertain nonlinear system, as it involves...
OBJECTIVE: This study aimed to develop an automatic classifier to distinguish different motor subtyp...
Conventional approaches to diagnosing Parkinson's disease (PD) and rating its severity level are bas...
BACKGROUND: Parkinson's disease is heterogeneous in symptom presentation and progression. Increased ...
OBJECTIVE: Early postural instability (PI) is a red flag for the diagnosis of Parkinson's disease (P...
Minimally invasive surgery (MIS) has represented the main innovation in the field of pediatric surge...
PURPOSE: Deep Brain Stimulation (DBS) is a proven therapy for Parkinson's Disease (PD), frequently r...
The external pallidum (globus pallidus pars externa [GPe]) plays a central role for basal ganglia fu...
Robotic-assisted surgery for the management of hepatic echinococcosis was introduced in 2016. The ad...
Elevating stiffness without compromising compliance and agility is a key problem for soft finger app...
BACKGROUND: Handheld surgical robots offer functionalities, such as active guidance, tremor suppress...
Background Group comparison results associating cortical thinning and Parkinson disease (PD) dementi...
Commonly used for Parkinson's disease (PD), deep brain stimulation (DBS) produces marked clinical be...
BACKGROUND: Parkinson's disease (PD) is a neurological disease that affects the motor system. The as...
Artificial intelligence (AI)-based diagnostic algorithms have achieved ambitious aims through automa...
The in vitro micronucleus (MN) assay is a well-established assay for quantification of DNA damage, a...
In this study, we aimed to identify potential diagnostic biomarkers Parkinson's disease (PD) by exp...
Medical image segmentation is a typical task in medical image processing and critical foundation in ...
Our objective is to derive a sequential decision-making rule on the combination of medications to mi...
Implanted devices providing real-time neural activity classification and control are increasingly us...