Neurology

Latest AI and machine learning research in neurology for healthcare professionals.

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Artificial Intelligence: Innovation to Assist in the Identification of Sono-anatomy for Ultrasound-Guided Regional Anaesthesia.

Ultrasound-guided regional anaesthesia (UGRA) involves the targeted deposition of local anaesthesia to inhibit the function of peripheral nerves. Ultrasound allows the visualisation of nerves and the surrounding structures, to guide needle insertion to a perineural or fascial plane end point for injection. However, it is challenging to develop the necessary skills to acquire and interpret optimal ...

Jan 1 2022 35146620

Peripapillary Atrophy Segmentation and Classification Methodologies for Glaucoma Image Detection: A Review.

Information-based image processing and computer vision methods are utilized in several healthcare organizations to diagnose diseases. The irregularities in the visual system are identified over fundus images with a fundus camera. Among ophthalmology diseases, glaucoma is the most common case leading to neurodegenerative illness. The unsuitable fluid pressure inside the eye within the visual system...

Jan 1 2022 35260060
Robot-assisted gait training in patients with Parkinson's disease: Implications for clinical practice. A systematic review.

BACKGROUND: Gait impairments are common disabling symptoms of Parkinson's disease (PD). Among the approaches for gait rehabilitation, interest in robo...

Jan 1 2022 35570502
Virtual reality combined with robot-assisted gait training to improve walking ability of children with cerebral palsy: A randomized controlled trial.

BACKGROUND: Children with cerebral palsy (CP) have disorders of posture and movement and which can limit physical activities such as walkingOBJECTIVE:...

Jan 1 2022 35661029
The Use of Machine Learning in MicroRNA Diagnostics: Current Perspectives.

MicroRNAs constitute small non-coding RNAs that play a pivotal role in regulating the translation and degradation of mRNA and have been associated wit...

Jan 1 2022 35984026
[Implementation of robotic mechanotherapy for movement recovery in patients after stroke].

Lower extremity dysfunction after a stroke can vary from mild to extremely severe and significantly reduce the functional independence of patients. Th...

Jan 1 2022 36279378
Evidence-based improvement of gait in post-stroke patients following robot-assisted training: A systematic review.

BACKGROUND: The recovery of walking after stroke is a priority goal for recovering autonomy. In the last years robotic systems employed for Robotic As...

Jan 1 2022 36502342
Effects of Exercise-Diet Therapy on Cognitive Function in Healthy Elderly People Evaluated by Deep Learning Based on Basic Blood Test Data.

BACKGROUND: Recent studies reported that vascular cognitive impairment in the elderly caused by arteriosclerosis plays an important role in cognitive ...

Jan 1 2022 36527628
Gait changes following robot-assisted gait training in children with cerebral palsy.

This study investigated changes of gait pattern induced by a 4-week robot-assisted gait training (RAGT) in twelve ambulatory spastic diparesis childre...

Dec 31 2021 35099258
Applications and Challenges of Machine Learning Methods in Alzheimer's Disease Multi-Source Data Analysis.

BACKGROUND: Recent development in neuroimaging and genetic testing technologies have made it possible to measure pathological features associated with...

Dec 31 2021 35386189
Deep learning-based EEG analysis: investigating P3 ERP components.

The neural processing of incoming stimuli can be analysed from the electroencephalogram (EEG) through event-related potentials (ERPs). The P3 componen...

Dec 30 2021 34997705
Major depression disorder diagnosis and analysis based on structural magnetic resonance imaging and deep learning.

Major depression disorder is one of the diseases with the highest rate of disability and morbidity and is associated with numerous structural and func...

Dec 30 2021 34997720
[The accuracy and influencing factors of sleep staging based on single-channel EEG via a deep neural network].

To investigate theaccuracy of artificial intelligence sleep staging model in patients with habitual snoring and obstructive sleep apnea hypopnea synd...

Dec 7 2021 34963212
Irrelevant Robot Signals in a Categorization Task Induce Cognitive Conflict in Performance, Eye Trajectories, the N2 Component of the EEG Signal, and Frontal Theta Oscillations.

Understanding others' nonverbal behavior is essential for social interaction, as it allows, among others, to infer mental states. Although gaze commun...

Dec 6 2021 34705044
Shedding light on pain for the clinic: a comprehensive review of using functional near-infrared spectroscopy to monitor its process in the brain.

Pain is a complex experience that involves sensation, emotion, and cognition. The subjectivity of the traditional pain measurement tools has expedited...

Dec 1 2021 33990114
AxonDeep: Automated Optic Nerve Axon Segmentation in Mice With Deep Learning.

PURPOSE: Optic nerve damage is the principal feature of glaucoma and contributes to vision loss in many diseases. In animal models, nerve health has t...

Dec 1 2021 34932117
[Robot Assisted Lower Anterior Resection for Anastomotic Recurrence of Colorectal Cancer-A Case Report].

Patient undergoing R0 resection have the good survival advantage following surgery for recurrent rectal cancer. Robotic surgery for anastomotic local ...

Dec 1 2021 35046334
Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data.

Alzheimer's disease (AD) is a progressive neurodegenerative brain disorder characterized by memory loss and cognitive decline. Early detection and acc...

Dec 1 2021 35299717
Self-normalized Classification of Parkinson's Disease DaTscan Images.

Classifying SPECT images requires a preprocessing step which normalizes the images using a normalization region. The choice of the normalization regio...

Dec 1 2021 35425663
Application of Machine Learning to Sleep Stage Classification.

Sleep studies are imperative to recapitulate phenotypes associated with sleep loss and uncover mechanisms contributing to psychopathology. Most often,...

Dec 1 2021 36313065
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