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Cool Evidence: Engaging Young People and Students in Real-World Evidence
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Real-Time Evidence Search [Psychiatry]
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AI Research
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Review of Machine Learning Techniques for EEG Based Brain Computer Interface
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🌐 90 Days
AI Virtual Reality Related Evidence Matrix
A review on electroencephalogram based channel selection The role of AI and machine learning in the diagnosis of Parkinson's disease and atypical parkinsonisms Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review Online continual decoding of streaming EEG signal with a balanced and informative memory buffer Advanced disk herniation computer aided diagnosis system Artificial intelligence- image learning and its applications in neurooncology: a review Precise Detection of Awareness in Disorders of Consciousness Using Deep Learning Framework A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis Structural or/and functional MRI-based machine learning techniques for attention-deficit/hyperactivity disorder diagnosis: A systematic review and meta-analysis Structural or/and functional MRI-based machine learning techniques for attention-deficit/hyperactivity disorder diagnosis: A systematic review and meta-analysis Fatigue in children using motor imagery and P300 brain-computer interfaces Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data Session-independent subject-adaptive mental imagery BCI using selective filter-bank adaptive Riemannian features Human-centred explanations for artificial intelligence systems eDeeplepsy: An artificial neural framework to reveal different brain states in children with epileptic spasms Revealing the Spatiotemporal Brain Dynamics of Covert Speech compared with Overt Speech: A Simultaneous EEG-fMRI Study Brain-machine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-study Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning - A Bibliometric Analysis Machine learning in internet financial risk management: A systematic literature review Effect of Esketamine on perioperative anxiety and depression in women with systemic tumors based on big data medical background Application of machine learning techniques in the diagnostic approach of PTSD using MRI neuroimaging data: A systematic review Voxeloc: a time-saving graphical user interface for localizing and visualizing stereo-EEG electrodes The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes Using Electroencephalogram-Extracted Nonlinear Complexity and Wavelet-Extracted Power Rhythm Features during the Performance of Demanding Cognitive Tasks (Aristotle's Syllogisms) in Optimally Classifying Patients with Anorexia Nervosa Exploring the potential of machine learning in gynecological care: a review Systematic review of machine learning in PTSD studies for automated diagnosis evaluation Investigating machine learning and natural language processing techniques applied for detecting eating disorders: a systematic literature review Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review Status and future trends in wastewater management strategies using artificial intelligence and machine learning techniques "Intelligent tutoring effects on induced emotions and cognitive load of learning-disabled learners" "Intelligent tutoring effects on induced emotions and cognitive load of learning-disabled learners" ORA collection on AI & Machine Learning launch event Spintronics-Based Neuromorphic and Ising Computing The application of different machine learning models based on PET/CT images and EGFR in predicting brain metastasis of adenocarcinoma of the lung Neurofeedback and epilepsy: Renaissance of an old self-regulation method? Machine learning, deep learning and hernia surgery. Are we pushing the limits of abdominal core health? A qualitative systematic review Developing a machine learning model for predicting venlafaxine active moiety concentration: a retrospective study using real-world evidence Protocol to explain support vector machine predictions via exact Shapley value computation Machine learning in the prediction and detection of new-onset atrial fibrillation in ICU: a systematic review Computer-aided analysis of radiological images for cancer diagnosis: performance analysis on benchmark datasets, challenges, and directions A refined approach for evaluating small datasets via binary classification using machine learning The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification See Elegans: Simple-to-use, accurate, and automatic 3D detection of neural activity from densely packed neurons Integrated smart dust monitoring and prediction system for surface mine sites using IoT and machine learning techniques Data Preprocessing Techniques for Artificial Learning (AI)/Machine Learning (ML)-Readiness: Systematic Review of Wearable Sensor Data in Cancer Care Machine learning and deep learning for the diagnosis and treatment of ankylosing spondylitis- a scoping review Analysis and interpretability of machine learning models to classify thyroid disease Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence-Based Prognosis for Patients With Advanced Solid Tumors Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment Application of artificial intelligence and machine learning techniques to the analysis of dynamic protein sequences Application of Machine Learning in Multimorbidity Research: Protocol for a Scoping Review Application of Machine Learning in Multimorbidity Research: Protocol for a Scoping Review Predicting Treatment Outcome Based on Resting-State Functional Connectivity in Internalizing Mental Disorders: A Systematic Review and Meta-Analysis An effective ensemble learning approach for classification of glioma grades based on novel MRI features An SSVEP-based BCI with 112 targets using frequency spatial multiplexing Integrating Advanced Techniques and Machine Learning for Landfill Leachate Treatment: Addressing Limitations and Environmental Concerns Toward Nano- and Microplastic Sensors: Identification of Nano- and Microplastic Particles via Artificial Intelligence Combined with a Plasmonic Probe Functionalized with an Estrogen Receptor Enhanced skin burn assessment through transfer learning: a novel framework for human tissue analysis Precise risk-prediction model including arterial stiffness for new-onset atrial fibrillation using machine learning techniques Deep Photonic Reservoir Computer for Speech Recognition Neuralink and Brain-Computer Interface-Exciting Times for Artificial Intelligence
Evidence Blueprint
Review of Machine Learning Techniques for EEG Based Brain Computer Interface
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Review of Machine Learning Techniques for EEG Based Brain Computer Interface
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
An Overview of Bipolar Disorder Diagnosis Using Machine Learning Approaches: Clinical Opportunities and Challenges A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare Emotion recognition in EEG signals using deep learning methods: A review Machine learning techniques in diagnostics and prediction of the clinical features of schizophrenia: a narrative review EEG-Based PD Classification Model Coupled with Machine Learning A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer's disease A review on electroencephalogram based channel selection Identification of autism spectrum disorder based on electroencephalography: A systematic review The role of AI and machine learning in the diagnosis of Parkinson's disease and atypical parkinsonisms Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review Machine-Learning Methods for Speech and Handwriting Detection Using Neural Signals: A Review Online continual decoding of streaming EEG signal with a balanced and informative memory buffer Advanced disk herniation computer aided diagnosis system Exploring the Frontiers of Neuroimaging: A Review of Recent Advances in Understanding Brain Functioning and Disorders Artificial intelligence- image learning and its applications in neurooncology: a review Classification of First-Episode Psychosis with EEG Signals: ciSSA and Machine Learning Approach Temporal alpha dissimilarity of ADHD brain network in comparison with CPT and CATA Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke Using TMS-EEG to assess the effects of neuromodulation techniques: a narrative review Toward practical machine-learning-based diagnosis for drug-naïve women with major depressive disorder using EEG channel reduction approach An overview of clinical machine learning applications in neurology Precise Detection of Awareness in Disorders of Consciousness Using Deep Learning Framework A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis Classification of attention deficit hyperactivity disorder using machine learning on an EEG dataset High-resolution EEG source localization in personalized segmentation-free head model with multi-dipole fitting Study shows that the way the brain learns is different from the way that artificial intelligence systems learn Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis Structural or/and functional MRI-based machine learning techniques for attention-deficit/hyperactivity disorder diagnosis: A systematic review and meta-analysis Structural or/and functional MRI-based machine learning techniques for attention-deficit/hyperactivity disorder diagnosis: A systematic review and meta-analysis Evaluation of Temporal, Spatial and Spectral Filtering in CSP-based Methods for Decoding Pedaling-Based Motor Tasks Using EEG signals Fatigue in children using motor imagery and P300 brain-computer interfaces Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data Developing and deploying deep learning models in brain magnetic resonance imaging: A review Resting state-EEG connectivity and machine learning: towards improved treatment response predictions in psychiatry Intraoperative pediatric electroencephalography monitoring - an updated review Automatic depression diagnosis through hybrid EEG and near-infrared spectroscopy features using support vector machine Session-independent subject-adaptive mental imagery BCI using selective filter-bank adaptive Riemannian features Remote collection of electrophysiological data with brain wearables: opportunities and challenges Human-centred explanations for artificial intelligence systems Machine learning approaches for early detection of non-alcoholic steatohepatitis based on clinical and blood parameters Decoding information about cognitive health from the brainwaves of sleep eDeeplepsy: An artificial neural framework to reveal different brain states in children with epileptic spasms A primer on the use of machine learning to distil knowledge from data in biological psychiatry EEG-based Machine Learning Models for the Prediction of Phenoconversion Time and Subtype in iRBD A Hybrid Graph Network Model for ASD Diagnosis Based on Resting-state EEG Signals Revealing the Spatiotemporal Brain Dynamics of Covert Speech compared with Overt Speech: A Simultaneous EEG-fMRI Study Brain-machine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-study Let the EEG speak my language. Italian translation of Standardized Computer-based Organized Reporting of EEG (SCORE) A review of machine learning applications for the proton MR spectroscopy workflow Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning - A Bibliometric Analysis Quantitative analysis of high-frequency activity in neonatal EEG Machine learning in internet financial risk management: A systematic literature review Effect of Esketamine on perioperative anxiety and depression in women with systemic tumors based on big data medical background Application of machine learning techniques in the diagnostic approach of PTSD using MRI neuroimaging data: A systematic review Voxeloc: a time-saving graphical user interface for localizing and visualizing stereo-EEG electrodes The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis Review of MR spectroscopy analysis and artificial intelligence applications for the detection of cerebral inflammation and neurotoxicity in Alzheimer's disease Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes Machine learning approaches to the identification of children affected by prenatal alcohol exposure: A narrative review Using shallow neural networks with functional connectivity from EEG signals for early diagnosis of Alzheimer's and frontotemporal dementia Using Electroencephalogram-Extracted Nonlinear Complexity and Wavelet-Extracted Power Rhythm Features during the Performance of Demanding Cognitive Tasks (Aristotle's Syllogisms) in Optimally Classifying Patients with Anorexia Nervosa Exploring the potential of machine learning in gynecological care: a review The evolution of neuromodulation for chronic stroke: From neuroplasticity mechanisms to brain-computer interfaces