Neurology

Parkinson's Disease

Latest AI and machine learning research in parkinson's disease for healthcare professionals.

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Showing 1-21 of 6,137 articles
Reframing robotics in Mohs surgery for rare cutaneous sarcomas: conceptual promise and clinical realities in precision oncology.

Dermatofibrosarcoma protuberans (DFSP) is a rare, locally aggressive cutaneous sarcoma in which achi...

Screening, identification, and experimental validation of SUMOylation biomarkers in Parkinson's disease.

BACKGROUND: Parkinson's disease (PD) is a common neurodegenerative disorder. The role of protein pos...

Electrode Flexibility Enhances Electrolyte Dynamics during Supercapacitor Charging.

Supercapacitors are energy storage devices with high power density and long cycle life. Combined wit...

Remote clinical decision support tool for Parkinson's disease assessment using a novel approach that combines AI and clinical knowledge.

BACKGROUND: Early diagnosis of Parkinson's disease (PD) can assist in designing efficient treatments...

3DFaceSculptor: A Common Framework for Image-Guided 3D Face Deformation.

We propose 3DFaceSculptor, a general-purpose framework for interactive 3D face editing. Given a sour...

Stakeholder Perspectives on Trustworthy AI for Parkinson Disease Management Using a Cocreation Approach: Qualitative Exploratory Study.

BACKGROUND: Parkinson disease (PD) is the fastest-growing neurodegenerative disorder in the world, w...

Subsecond Analysis of Locomotor Activity in Parkinsonian Mice.

The degeneration of midbrain dopamine (DA) neurons disrupts the neural control of natural behavior, ...

Parkinson disease detection based on in-air dynamics feature extraction and selection using machine learning.

Parkinson's disease (PD) is a progressive neurological disorder that impairs movement control, leadi...

Uncovering locomotor learning dynamics in people with Parkinson's disease.

Locomotor learning is important for improving gait and balance impairments in people with Parkinson'...

Video analysis reveals early signs of Bradykinesia in REM sleep behavior disorder and Parkinson's disease.

Idiopathic REM sleep behavior disorder (iRBD) is a strong predictor of neurodegenerative diseases li...

A novel deep learning-based brain age prediction framework for routine clinical MRI scans.

Physiological brain aging is associated with cognitive impairment and neuroanatomical changes. Brain...

ML-STIM: Machine learning for subthalamic nucleus intraoperative mapping.

OBJECTIVE: Deep Brain Stimulation (DBS) of the Subthalamic Nucleus (STN) is effective in alleviating...

Early detection of Parkinson's disease: Machine learning-based prediction of UPDRS Part III scores in patients using smartphone assessments.

BackgroundDetecting motor symptoms in Parkinson's disease (PD) at home, especially in the prodromal,...

Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson's disease.

Cognitive impairment is a frequent complication of Parkinson's disease (PD), affecting up to half of...

Perceived social support in the daily life of people with Parkinson's disease: a distinct role and potential classifier.

Motor outcomes in Parkinson's disease (PD) have long been the primary diagnostic criteria and treatm...

Deep Learning to Differentiate Parkinsonian Syndromes Using Multimodal Magnetic Resonance Imaging: A Proof-of-Concept Study.

BACKGROUND: The differentiation between multiple system atrophy (MSA) and Parkinson's disease (PD) b...

Activated TBK1 promotes ACSL1-mediated microglia lipid droplet accumulation and neuroinflammation in Parkinson's disease.

UNLABELLED: Microglia-mediated neuroinflammation plays a crucial role in the progression of Parkinso...

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