Neurology

Parkinson's Disease

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

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Showing 694-714 of 5,766 articles
Quantitative susceptibility mapping based hybrid feature extraction for diagnosis of Parkinson's disease.

Parkinson's disease is the second most common neurodegenerative disease in the elderly after Alzheim...

Nov 2019 31734535
Machine-learning-derived rules set excludes risk of Parkinson's disease in patients with olfactory or gustatory symptoms with high accuracy.

BACKGROUND: Chemosensory loss is a symptom of Parkinson's disease starting already at preclinical st...

Nov 2019 31676975
Hash Transformation and Machine Learning-Based Decision-Making Classifier Improved the Accuracy Rate of Automated Parkinson's Disease Screening.

Digitalized hand-drawn pattern is a noninvasive and reproducible assistive manner to obtain hand act...

Oct 2019 31675334
Online identification of functional regions in deep brain stimulation based on an unsupervised random forest with feature selection.

OBJECTIVE: The identification of functional regions, in particular the subthalamic nucleus, through ...

Oct 2019 31266003
Investigating Risk Factors and Predicting Complications in Deep Brain Stimulation Surgery with Machine Learning Algorithms.

BACKGROUND: Deep brain stimulation (DBS) surgery is an option for patients experiencing medically re...

Oct 2019 31634625
A Dual-Modal Attention-Enhanced Deep Learning Network for Quantification of Parkinson's Disease Characteristics.

It is well known that most patients with Parkinson's disease (PD) have different degree of movement ...

Oct 2019 31603824
Bag of Samplings for computer-assisted Parkinson's disease diagnosis based on Recurrent Neural Networks.

Parkinson's Disease (PD) is a clinical syndrome that affects millions of people worldwide. Although ...

Oct 2019 31605890
Multilevel Features for Sensor-Based Assessment of Motor Fluctuation in Parkinson's Disease Subjects.

Motor fluctuations are a frequent complication in patients with Parkinson's disease (PD) where the r...

Sep 2019 31562114
Phasic dopamine release identification using convolutional neural network.

Dopamine has a major behavioral impact related to drug dependence, learning and memory functions, as...

Sep 2019 31568974
A soft continuum robot, with a large variable-stiffness range, based on jamming.

Inspired by the physiological structure of the hand capable of realizing the continuous change in fi...

Sep 2019 31430741
Quantification of Motor Function in Huntington Disease Patients Using Wearable Sensor Devices.

Previous studies have demonstrated the feasibility and promise of wearable sensors as objective meas...

Sep 2019 32095771
Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study.

BACKGROUND: Development of valid, non-invasive biomarkers for parkinsonian syndromes is crucially ne...

Aug 2019 33323270
Development and Validation of the Automated Imaging Differentiation in Parkinsonism (AID-P): A Multi-Site Machine Learning Study.

BACKGROUND: There is a critical need to develop valid, non-invasive biomarkers for Parkinsonian synd...

Aug 2019 32259098
Clinical effects of robot-assisted gait training and treadmill training for Parkinson's disease. A randomized controlled trial.

BACKGROUND: Although gait disorders strongly contribute to perceived disability in people with Parki...

Aug 2019 31377382
Artificial intelligence for assisting diagnostics and assessment of Parkinson's disease-A review.

Artificial intelligence, specifically machine learning, has found numerous applications in computer-...

Jul 2019 31351213
Towards computerized diagnosis of neurological stance disorders: data mining and machine learning of posturography and sway.

We perform classification, ranking and mapping of body sway parameters from static posturography dat...

Jul 2019 31286203
Identifying incident dementia by applying machine learning to a very large administrative claims dataset.

Alzheimer's disease and related dementias (ADRD) are highly prevalent conditions, and prior efforts ...

Jul 2019 31276468
Toward Safe Retinal Microsurgery: Development and Evaluation of an RNN-Based Active Interventional Control Framework.

OBJECTIVE: Robotics-assisted retinal microsurgery provides several benefits including improvement of...

Jul 2019 31265381
Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging: a proof of concept study.

OBJECTIVES: To evaluate the diagnostic performance of deep learning with the convolutional neural ne...

Jul 2019 31264017
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