Latest AI and machine learning research in parkinson's disease for healthcare professionals.
Parkinson's disease (PD) is a neurodegenerative disorder characterized by diverse symptoms, where ac...
OBJECTIVE: Optimized deep brain stimulation (DBS) is fast becoming a therapy of choice for the treat...
Magnetic resonance-guided focused ultrasound surgery (MRgFUS) thalamotomy is an emerging technique f...
BACKGROUND: The diagnosis of Parkinson's disease is currently based on clinical evaluation. Despite ...
BACKGROUND: Evaluation of disease severity in Parkinson's disease (PD) relies on motor symptoms quan...
The advent of computer vision technology and increased usage of video cameras in clinical settings h...
BACKGROUND AND OBJECTIVE: Parkinson's disease (PD) is one of the most prevalent neurodegenerative br...
Parkinson's disease is a common mental disease in the world, especially in the middle-aged and elder...
PURPOSE: To construct a quantitative evaluation system for hand tremor during internal limiting memb...
Analysis of neuroimaging data (e.g., Magnetic Resonance Imaging, structural and functional MRI) play...
Parkinson's disease (PD) exhibits heterogeneity in terms of symptoms and prognosis, likely due to di...
BACKGROUND: Despite the frequent diagnostic delays of rare neurologic diseases (RND), it remains dif...
Quantitative mobility analysis using wearable sensors, while promising as a diagnostic tool for Park...
BACKGROUND: Transcranial sonography (TCS) plays a crucial role in diagnosing Parkinson's disease. Ho...
Freezing of gait (FOG) is an episodic and highly disabling symptom of Parkinson's disease (PD). Alth...
JOURNAL/nrgr/04.03/01300535-202604000-00042/figure1/v/2025-06-30T060627Z/r/image-tiff Freezing of ga...
Understanding the generative mechanism between local field potentials (LFP) and neuronal spiking act...
Falls are a major concern for people with Parkinson's disease (PwPD), but accurately assessing real-...
OBJECTIVE: There are two major issues in the MRI image diagnosis task for Parkinson's disease. First...
PURPOSE: To develop a deep learning-based approach to reduce the scan time of multipool CEST MRI for...
Electroencephalography (EEG) has demonstrated significant value in diagnosing brain diseases. In par...