Latest AI and machine learning research in parkinson's disease for healthcare professionals.
BACKGROUND/AIM: Robot-assisted surgery has become increasingly routine, replacing open and laparosco...
BACKGROUND: The development of MRI based methods could prove extremely valuable for identification o...
The basal ganglia (BG) comprise multiple subcortical nuclei, which are responsible for cognition and...
In the operational theater, the surgical team could highly benefit from a robotic supplementary hand...
A liquid chromatography-high resolution mass spectrometry (LC-HRMS) method was developed and validat...
BACKGROUND: Deep brain stimulation (DBS) of the subthalamic region is an established therapy for adv...
Impulsivity, i.e. irresistibility in the execution of actions, may be prominent in Parkinson's disea...
Freezing of Gait (FOG) is a frequent and disabling feature of Parkinson disease (PD). Gait rehabilit...
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...
PURPOSE: The study's objective was to develop diagnostic predictive models using data from two commo...
OBJECTIVE: The main aim was to compare robotic gait training vs. balance training for reducing postu...
Parkinson's disease is a neurodegenerative condition that affects the brain's neurons, and causes ma...
Deep Brain Stimulation (DBS) of the SubThalamic Nucleus (STN) is effective in alleviating motor symp...
PURPOSE OF REVIEW: This review explores the use of brain age estimation from MRI scans as a biomarke...
The molecular design of semiconducting polymers (SCPs) has been largely guided by varying monomer co...
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor and non-motor sympto...
In recent years, machine learning and deep learning have shown potential for improving Parkinson's d...
Although there are notable structural abnormalities in the brain associated with psychotic diseases,...