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Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 3571-3591 of 12,119 articles

Iontronic Nanopore Model for Artificial Neurons: The Requisites of Spiking.

Brain-inspired neuromorphic computing is currently being investigated for effective artificial intel...

Oct 2023 PMID: 37782051

Neuroimaging Scoring Tools to Differentiate Inflammatory Central Nervous System Small-Vessel Vasculitis: A Need for Artificial Intelligence/Machine Learning?-A Scoping Review.

Neuroimaging has a key role in identifying small-vessel vasculitis from common diseases it mimics, s...

Oct 2023 PMID: 37888736

Memristors based on NdNiO nanocrystals film as sensory neurons for neuromorphic computing.

By mimicking the behavior of the human brain, artificial neural systems offer the possibility to fur...

Oct 2023 PMID: 37555245

Diagnostic test accuracy study of a commercially available deep learning algorithm for ischemic lesion detection on brain MRIs in suspected stroke patients from a non-comprehensive stroke center.

PURPOSE: To estimate the ability of a commercially available artificial intelligence (AI) tool to de...

Sep 2023 PMID: 37804650

Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive Approach.

A large share of traffic accidents is related to driver fatigue. In recent years, many studies have ...

Sep 2023 PMID: 37837001

An ensemble deep-learning approach for single-trial EEG classification of vibration intensity.

. Single-trial electroencephalography (EEG) classification is a promising approach to evaluate the c...

Sep 2023 PMID: 37732958

CT-based volumetric measures obtained through deep learning: Association with biomarkers of neurodegeneration.

INTRODUCTION: Cranial computed tomography (CT) is an affordable and widely available imaging modalit...

Sep 2023 PMID: 37767905

Neuron Contact Detection Based on Pipette Precise Positioning for Robotic Brain-Slice Patch Clamps.

A patch clamp is the "gold standard" method for studying ion-channel biophysics and pharmacology. Du...

Sep 2023 PMID: 37836974

Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia.

(SCZ) is a severe mental disorder associated with persistent or recurrent psychosis, hallucinations,...

Sep 2023 PMID: 37673060

The Effect of Using a Rehabilitation Robot for Patients with Post-Coronavirus Disease (COVID-19) Fatigue Syndrome.

The aim of this study was to compare the effectiveness of traditional neurological rehabilitation an...

Sep 2023 PMID: 37836950

Applications for Deep Learning in Epilepsy Genetic Research.

Epilepsy is a group of brain disorders characterised by an enduring predisposition to generate unpro...

Sep 2023 PMID: 37834093

Neuromorphic sequence learning with an event camera on routes through vegetation.

For many robotics applications, it is desirable to have relatively low-power and efficient onboard s...

Sep 2023 PMID: 37756384

Artificial intelligence in neuroimaging of brain tumors: reality or still promise?

PURPOSE OF REVIEW: To provide an updated overview of artificial intelligence (AI) applications in ne...

Sep 2023 PMID: 37973024

State-of-the-Art of Non-Radiative, Non-Visual Spine Sensing with a Focus on Sensing Forces, Vibrations and Bioelectrical Properties: A Systematic Review.

In the research field of robotic spine surgery, there is a big upcoming momentum for surgeon-like au...

Sep 2023 PMID: 37836924

CNN-Res: deep learning framework for segmentation of acute ischemic stroke lesions on multimodal MRI images.

BACKGROUND: Accurate segmentation of stroke lesions on MRI images is very important for neurologists...

Sep 2023 PMID: 37752508

Non-inferiority of deep learning ischemic stroke segmentation on non-contrast CT within 16-hours compared to expert neuroradiologists.

We determined if a convolutional neural network (CNN) deep learning model can accurately segment acu...

Sep 2023 PMID: 37752162

AC-Faster R-CNN: an improved detection architecture with high precision and sensitivity for abnormality in spine x-ray images.

In clinical medicine, localization and identification of disease on spinal radiographs are difficult...

Sep 2023 PMID: 37678268

Browse Categories

Iontronic Nanopore Model for Artificial Neurons: The Requisites of Spiking.

Neuroimaging Scoring Tools to Differentiate Inflammatory Central Nervous System Small-Vessel Vasculitis: A Need for Artificial Intelligence/Machine Learning?-A Scoping Review.

Memristors based on NdNiO nanocrystals film as sensory neurons for neuromorphic computing.

Diagnostic test accuracy study of a commercially available deep learning algorithm for ischemic lesion detection on brain MRIs in suspected stroke patients from a non-comprehensive stroke center.

Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive Approach.

An ensemble deep-learning approach for single-trial EEG classification of vibration intensity.

CT-based volumetric measures obtained through deep learning: Association with biomarkers of neurodegeneration.

Neuron Contact Detection Based on Pipette Precise Positioning for Robotic Brain-Slice Patch Clamps.

Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia.

The Effect of Using a Rehabilitation Robot for Patients with Post-Coronavirus Disease (COVID-19) Fatigue Syndrome.

Applications for Deep Learning in Epilepsy Genetic Research.

Neuromorphic sequence learning with an event camera on routes through vegetation.

Artificial intelligence in neuroimaging of brain tumors: reality or still promise?

State-of-the-Art of Non-Radiative, Non-Visual Spine Sensing with a Focus on Sensing Forces, Vibrations and Bioelectrical Properties: A Systematic Review.

CNN-Res: deep learning framework for segmentation of acute ischemic stroke lesions on multimodal MRI images.

Non-inferiority of deep learning ischemic stroke segmentation on non-contrast CT within 16-hours compared to expert neuroradiologists.

AC-Faster R-CNN: an improved detection architecture with high precision and sensitivity for abnormality in spine x-ray images.

Computational and systems neuroscience: The next 20 years.

A Deep Learning Approach for Neuronal Cell Body Segmentation in Neurons Expressing GCaMP Using a Swin Transformer.

Learning smooth dendrite morphological neurons by stochastic gradient descent for pattern classification.

A Deep Learning Model for Correlation Analysis between Electroencephalography Signal and Speech Stimuli.

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