Evidence
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Latest: Psychiatryai.com #RAISR4D Evidence
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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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Computation, Vol. 9, Pages 130: Video-Based Deep Learning Approach for 3D Human Movement Analysis in Institutional Hallways: A Smart Hallway
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🌐 90 Days
AI Virtual Reality Related Evidence Matrix
Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis Understanding Human Cognition Through Computational Modeling From Pixels to Prognosis: Unlocking the Potential of Deep Learning in Fibrotic Lung Disease Imaging Analysis Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System Fog-based deep learning framework for real-time pandemic screening in smart cities from multi-site tomographies Brain-machine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-study Assessment of changes in vessel area during needle manipulation in microvascular anastomosis using a deep learning-based semantic segmentation algorithm: A pilot study Automated tear film break-up time measurement for dry eye diagnosis using deep learning Intelligent and sustainable waste classification model based on multi-objective beluga whale optimization and deep learning Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning - A Bibliometric Analysis A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imaging Heart Sound Abnormality Detection From Multi-Institutional Collaboration: Introducing a Federated Learning Framework Artificial Intelligence and Deep Learning in Sensors and Applications Practical Application of Deep Learning in Diagnostic Neuropathology-Reimagining a Histological Asset in the Era of Precision Medicine Application of deep learning in isolated tooth identification Interdisciplinary approach to identify language markers for post-traumatic stress disorder using machine learning and deep learning Deep Learning-Assisted Spectrum-Structure Correlation: State-of-the-Art and Perspectives Flexible Conformally Bioadhesive MXene Hydrogel Electronics for Machine Learning-Facilitated Human-Interactive Sensing Objective and automatic assessment approach for diagnosing attention-deficit/hyperactivity disorder based on skeleton detection and classification analysis in outpatient videos The effect of the pandemic on European narratives on smart cities and surveillance A Survey on 3D Skeleton-Based Action Recognition Using Learning Method Bringing Artificial Intelligence (AI) into Environmental Toxicology Studies: A Perspective of AI-Enabled Zebrafish High-Throughput Screening Protocol to explain support vector machine predictions via exact Shapley value computation Accelerating Computation of Acidity Constants and Redox Potentials for Aqueous Organic Redox Flow Batteries by Machine Learning Potential-Based Molecular Dynamics Time-Dependent Deep Learning Prediction of Multiple Sclerosis Disability Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort A deep learning-based model for detecting Leishmania amastigotes in microscopic slides: a new approach to telemedicine Automated diagnosis of schizophrenia based on spatial-temporal residual graph convolutional network Effects of memory and attention on the association between video game addiction and cognitive/learning skills in children: mediational analysis Effects of memory and attention on the association between video game addiction and cognitive/learning skills in children: mediational analysis Environmentally Robust Triboelectric Tire Monitoring System for Self-Powered Driving Information Recognition via Hybrid Deep Learning in Time-Frequency Representation Automatic offline-capable smartphone paper-based microfluidic device for efficient biomarker detection of Alzheimer's disease Predicting Blood Glucose Levels with Organic Neuromorphic Micro-Networks DeepPI: Alignment-Free Analysis of Flexible Length Proteins Based on Deep Learning and Image Generator A novel deep learning method to segment parathyroid glands on intraoperative videos of thyroid surgery Multi-Instance Learning for Vocal Fold Leukoplakia Diagnosis Using White Light and Narrow-Band Imaging: A Multicenter Study Screening for urothelial carcinoma cells in urine based on digital holographic flow cytometry through machine learning and deep learning methods Fully automated deep learning approach to dental development assessment in panoramic radiographs Minimization of occurrence of retained surgical items using machine learning and deep learning techniques: a review Deep Learning and Multimodal Artificial Intelligence in Orthopaedic Surgery COVID-19 symptom identification using Deep Learning and hardware emulated systems Deep learning for structure based drug discovery Distinguishing methicillin-resistant Staphylococcus aureus from methicillin-sensitive strains by combining Fe3O4 magnetic nanoparticle-based affinity mass spectrometry with a machine learning strategy Trustworthy Precision Medicine: An Interpretable Approach to Detecting Anomalous Behavior of IoT Devices Layer-selective deep representation to improve esophageal cancer classification AI identifies potent inducers of breast cancer stem cell differentiation based on adversarial learning from gene expression data Deep Learning Based Cystoscopy Image Enhancement COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal A deep learning approach for Direct Immunofluorescence pattern recognition of Autoimmune Bullous Diseases Dense Sample Deep Learning The impact of the #MeToo movement on language at court A text-based causal inference approach Advanced feature learning and classification of microscopic breast abnormalities using a robust deep transfer learning technique mRNA-CLA: An Interpretable Deep Learning Approach for Predicting mRNA Subcellular Localization Deep learning-based classification of anti-personnel mines and sub-gram metal content in mineralized soil (DL-MMD) Dense Sample Deep Learning The role of AI and machine learning in the diagnosis of Parkinson's disease and atypical parkinsonisms Data set terminology of deep learning in medicine: a historical review and recommendation A Data Set of Synthetic Utterances for Computational Personality Analysis Smart Sensors and Smart Data for Precision Agriculture: A Review A refined approach for evaluating small datasets via binary classification using machine learning Machine learning, deep learning and hernia surgery. Are we pushing the limits of abdominal core health? A qualitative systematic review An end-to-end method for predicting compound-protein interactions based on simplified homogeneous graph convolutional network and pre-trained language model
Evidence Blueprint
Computation, Vol. 9, Pages 130: Video-Based Deep Learning Approach for 3D Human Movement Analysis in Institutional Hallways: A Smart Hallway
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☊ AI-Driven Related Evidence Nodes
(recent articles with at least 5 words in title)
More Evidence
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Computation, Vol. 9, Pages 130: Video-Based Deep Learning Approach for 3D Human Movement Analysis in Institutional Hallways: A Smart Hallway
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
Automated Quantification of Eye Tics Using Computer Vision and Deep Learning Techniques Deep learning analysis of mid-infrared microscopic imaging data for the diagnosis and classification of human lymphomas Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis A framework for relating natural movement to length and quality of life in human and non-human animals Understanding Human Cognition Through Computational Modeling Developmental Differences in Reaching-and-Placing Movement and Its Potential in Classifying Children with and without Autism Spectrum Disorder: Deep Learning Approach From Pixels to Prognosis: Unlocking the Potential of Deep Learning in Fibrotic Lung Disease Imaging Analysis Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review A Deep Learning Approach for Neuronal Cell Body Segmentation in Neurons Expressing GCaMP using a Swin Transformer Evaluating a Photogrammetry-Based Video for Undergraduate Anatomy Education A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System Fog-based deep learning framework for real-time pandemic screening in smart cities from multi-site tomographies Brain-machine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-study Automated Video Tracking of Autistic Children's Movement During Caregiver-Child Interaction: An Exploratory Study Objective Parameters in Attention Deficit Hyperactivity Disorder: Eye and Head Movements Assessment of changes in vessel area during needle manipulation in microvascular anastomosis using a deep learning-based semantic segmentation algorithm: A pilot study Automated tear film break-up time measurement for dry eye diagnosis using deep learning Intelligent and sustainable waste classification model based on multi-objective beluga whale optimization and deep learning Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning - A Bibliometric Analysis A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis Deep Learning and Geriatric Mental Health Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imaging Heart Sound Abnormality Detection From Multi-Institutional Collaboration: Introducing a Federated Learning Framework Deep learning-based activity recognition and fine motor identification using 2D skeletons of cynomolgus monkeys Artificial Intelligence and Deep Learning in Sensors and Applications Practical Application of Deep Learning in Diagnostic Neuropathology-Reimagining a Histological Asset in the Era of Precision Medicine Application of deep learning in isolated tooth identification Interdisciplinary approach to identify language markers for post-traumatic stress disorder using machine learning and deep learning Deep Learning-Assisted Spectrum-Structure Correlation: State-of-the-Art and Perspectives Flexible Conformally Bioadhesive MXene Hydrogel Electronics for Machine Learning-Facilitated Human-Interactive Sensing Objective and automatic assessment approach for diagnosing attention-deficit/hyperactivity disorder based on skeleton detection and classification analysis in outpatient videos The effect of the pandemic on European narratives on smart cities and surveillance A Survey on 3D Skeleton-Based Action Recognition Using Learning Method Motor Signature Differences Between Autism Spectrum Disorder and Developmental Coordination Disorder, and Their Neural Mechanisms Risk of data leakage in estimating the diagnostic performance of a deep-learning-based computer-aided system for psychiatric disorders Invited Session V: The eye as a window to systemic and neurodegenerative health: Early prediction of multiple sclerosis using scanning laser ophthalmoscopy (SLO) video sequence data with a Deep Learning (DL) based approach Punishment Leads to Greater Sensorimotor Learning but Less Movement Variability Compared to Reward Motor Control Adherence to the Two-thirds Power Law Differs in Autistic Development Effect of interactive video-based instruction on learning performance in relation to social skills of children with intellectual disability Bringing Artificial Intelligence (AI) into Environmental Toxicology Studies: A Perspective of AI-Enabled Zebrafish High-Throughput Screening Ensemble-Learning and Feature Selection Techniques for Enhanced Antisense Oligonucleotide Efficacy Prediction in Exon Skipping Learning Italian as a Second Language in a Sample of Ukrainian Children: A Game-Based Learning Approach Protocol to explain support vector machine predictions via exact Shapley value computation A systematic qualitative study investigating why individuals attend, and what they like, dislike, and find most helpful about, smart recovery, alcoholics anonymous, both, or neither Accelerating Computation of Acidity Constants and Redox Potentials for Aqueous Organic Redox Flow Batteries by Machine Learning Potential-Based Molecular Dynamics Incorporating participants' welfare into sequential multiple assignment randomized trials The Development and Evaluation of an Educational Video for Breast Cancer Patients Requiring Adjuvant Radiation Therapy Time-Dependent Deep Learning Prediction of Multiple Sclerosis Disability Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort A deep learning-based model for detecting Leishmania amastigotes in microscopic slides: a new approach to telemedicine Automated diagnosis of schizophrenia based on spatial-temporal residual graph convolutional network Deep learning applications in vascular dementia using neuroimaging DEEP-squared: deep learning powered De-scattering with Excitation Patterning An actor-model framework for visual sensory encoding Effects of memory and attention on the association between video game addiction and cognitive/learning skills in children: mediational analysis Effects of memory and attention on the association between video game addiction and cognitive/learning skills in children: mediational analysis Kinome-Wide Virtual Screening by Multi-Task Deep Learning Environmentally Robust Triboelectric Tire Monitoring System for Self-Powered Driving Information Recognition via Hybrid Deep Learning in Time-Frequency Representation Multimodal Investigation of Deep Gray Matter Nucleus in Patients with Multiple Sclerosis and Their Clinical Correlations: A Multivariate Pattern Analysis Study Automatic offline-capable smartphone paper-based microfluidic device for efficient biomarker detection of Alzheimer's disease Predicting Blood Glucose Levels with Organic Neuromorphic Micro-Networks Application of deep learning in radiation therapy for cancer DeepPI: Alignment-Free Analysis of Flexible Length Proteins Based on Deep Learning and Image Generator Morphology-based molecular classification of spinal cord ependymomas using deep neural networks