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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An end-to-end workflow based on multimodal 3D imaging and machine learning for non-destructive diagnosis of grapevine trunk diseases
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🌐 90 Days
AI Virtual Reality Related Evidence Matrix
End-to-End Multi-task Learning Architecture for Brain Tumor Analysis with Uncertainty Estimation in MRI Images Comparative analysis of feature-based ML and CNN for binucleated erythroblast quantification in myelodysplastic syndrome patients using imaging flow cytometry data Artificial intelligence and machine learning responses to COVID-19 related inquiries Unveiling spatial complexity in solid tumor immune microenvironments through multiplexed imaging Practical Application of Deep Learning in Diagnostic Neuropathology-Reimagining a Histological Asset in the Era of Precision Medicine Machine learning and artificial intelligence within pediatric autoimmune diseases: applications, challenges, future perspective From Diagnosis to Precision Surgery: the Transformative Role of Artificial Intelligence in Urologic Imaging From Diagnosis to Precision Surgery: the Transformative Role of Artificial Intelligence in Urologic Imaging Deep Learning Based Cystoscopy Image Enhancement Multimodal fusion of brain signals for robust prediction of psychosis transition Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes RotatedStomataNet: a deep rotated object detection network for directional stomata phenotype analysis End-of-Life and Hospice Care in Neurologic Diseases End-of-Life and Hospice Care in Neurologic Diseases Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis Preliminary study on AI-assisted diagnosis of bone remodeling in chronic maxillary sinusitis Combining Transition Path Sampling with Data-Driven Collective Variables through a Reactivity-Biased Shooting Algorithm Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning - A Bibliometric Analysis Machine Learning in Diagnosis and Prognosis of Lung Cancer by PET-CT Photoacoustic Tomography with Temporal Encoding Reconstruction (PATTERN) for cross-modal individual analysis of the whole brain Classification of the quality of canine and feline ventrodorsal and dorsoventral thoracic radiographs through machine learning A comprehensive review for artificial intelligence on neuroimaging in rehabilitation of ischemic stroke Artificial Intelligence in Urology: Application of a machine learning model to predict the risk of urolithiasis in a general population Enhancing psychiatric rehabilitation outcomes through a multimodal multitask learning model based on BERT and TabNet: An approach for personalized treatment and improved decision-making A non-invasive method to determine core temperature for cats and dogs using surface temperatures based on machine learning Men and Therapy: Why We Need to End the Stigma Applications of Artificial Intelligence in Prostate Cancer Care: A Path to Enhanced Efficiency and Outcomes Multimodal deep learning for dementia classification using text and audio Cortical-cerebellar circuits changes in preschool ASD children by multimodal MRI Integrating Explainable Machine Learning in Clinical Decision Support Systems: Study Involving a Modified Design Thinking Approach Deep Learning and Multimodal Artificial Intelligence in Orthopaedic Surgery An end-to-end method for predicting compound-protein interactions based on simplified homogeneous graph convolutional network and pre-trained language model How to approach patients and families at the end of life Pharmacologic Management of End-of-Life Delirium: Translating Evidence into Practice The role of AI and machine learning in the diagnosis of Parkinson's disease and atypical parkinsonisms Malnutrition management and the application of medical nutrition therapy in hospitalized patients at the end of life Progress and trends in neurological disorders research based on deep learning An improved method for diagnosis of Parkinson's disease using deep learning models enhanced with metaheuristic algorithm Generative design of compounds with desired potency from target protein sequences using a multimodal biochemical language model Multi-Instance Learning for Vocal Fold Leukoplakia Diagnosis Using White Light and Narrow-Band Imaging: A Multicenter Study Utilization of machine learning for dengue case screening Utilization of machine learning for dengue case screening A Reconfigurable Bipolar Image Sensor for High-Efficiency Dynamic Vision Recognition Improvements of complex post-traumatic stress disorder symptoms during a multimodal psychodynamic inpatient rehabilitation treatment - results of an observational single-centre pilot study NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network Integrating Biomarkers From Virtual Reality and Magnetic Resonance Imaging for the Early Detection of Mild Cognitive Impairment Using a Multimodal Learning Approach: Validation Study Computed tomography machine learning classifier correlates with mortality in interstitial lung disease Revolutionizing tumor detection and classification in multimodality imaging based on deep learning approaches: methods, applications and limitations Screening for urothelial carcinoma cells in urine based on digital holographic flow cytometry through machine learning and deep learning methods Machine learning in internet financial risk management: A systematic literature review Prediction of the Need for Anticonvulsants in the Management of Orofacial Neuropathic Pain Using Machine Learning Detection of sweet corn seed viability based on hyperspectral imaging combined with firefly algorithm optimized deep learning Classification of laryngeal diseases including laryngeal cancer, benign mucosal disease, and vocal cord paralysis by artificial intelligence using voice analysis Multimodal brain age prediction using machine learning: combining structural MRI and 5-HT2AR PET-derived features Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis Minimization of occurrence of retained surgical items using machine learning and deep learning techniques: a review Towards complex dynamic physics system simulation with graph neural ordinary equations A refined approach for evaluating small datasets via binary classification using machine learning Accelerating Computation of Acidity Constants and Redox Potentials for Aqueous Organic Redox Flow Batteries by Machine Learning Potential-Based Molecular Dynamics A machine learning approach for differentiating bipolar disorder type II and borderline personality disorder using electroencephalography and cognitive abnormalities Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review Machine learning identification of edible vegetable oils from fatty acid compositions and hyperspectral images Imaging at the nexus: how state of the art imaging techniques can enhance our understanding of cancer and fibrosis
Evidence Blueprint
An end-to-end workflow based on multimodal 3D imaging and machine learning for non-destructive diagnosis of grapevine trunk diseases
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☊ AI-Driven Related Evidence Nodes
(recent articles with at least 5 words in title)
More Evidence
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An end-to-end workflow based on multimodal 3D imaging and machine learning for non-destructive diagnosis of grapevine trunk diseases
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
Multi-loss Disentangled Generative-Discriminative Learning for Multimodal Representation in Schizophrenia End-to-End Multi-task Learning Architecture for Brain Tumor Analysis with Uncertainty Estimation in MRI Images Comparative analysis of feature-based ML and CNN for binucleated erythroblast quantification in myelodysplastic syndrome patients using imaging flow cytometry data Multimodal digital assessment of depression with actigraphy and app in Hong Kong Chinese Artificial intelligence and machine learning responses to COVID-19 related inquiries Fingerprinting black tea: When spectroscopy meets machine learning a novel workflow for geographical origin identification Unveiling spatial complexity in solid tumor immune microenvironments through multiplexed imaging Practical Application of Deep Learning in Diagnostic Neuropathology-Reimagining a Histological Asset in the Era of Precision Medicine Rethinking Dementia Risk Prediction: A Critical Evaluation of a Multimodal Machine Learning Predictive Model A narrative review of recent tools and innovations toward automating living systematic reviews and evidence syntheses Machine learning and artificial intelligence within pediatric autoimmune diseases: applications, challenges, future perspective Machine learning approaches to the identification of children affected by prenatal alcohol exposure: A narrative review From Diagnosis to Precision Surgery: the Transformative Role of Artificial Intelligence in Urologic Imaging From Diagnosis to Precision Surgery: the Transformative Role of Artificial Intelligence in Urologic Imaging Predicting disease severity in multiple sclerosis using multimodal data and machine learning Autism spectrum disorder diagnosis based on deep unrolling-based spatial constraint representation Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data Deep Learning Based Cystoscopy Image Enhancement Multimodal fusion of brain signals for robust prediction of psychosis transition Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes Deep learning analysis of mid-infrared microscopic imaging data for the diagnosis and classification of human lymphomas RotatedStomataNet: a deep rotated object detection network for directional stomata phenotype analysis End-of-Life and Hospice Care in Neurologic Diseases End-of-Life and Hospice Care in Neurologic Diseases Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis Computational Assessment of Spectral Heterogeneity within Fresh Glioblastoma Tissue Using Raman Spectroscopy and Machine Learning Algorithms Preliminary study on AI-assisted diagnosis of bone remodeling in chronic maxillary sinusitis Toward a generalizable machine learning workflow for neurodegenerative disease staging with focus on neurofibrillary tangles Combining Transition Path Sampling with Data-Driven Collective Variables through a Reactivity-Biased Shooting Algorithm Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning - A Bibliometric Analysis Multi-Scale Dynamic Graph Learning for Brain Disorder Detection with Functional MRI Regional-asymmetric Adaptive Graph Convolutional Neural Network for Diagnosis of Autism in Children with Resting-state EEG Machine Learning in Diagnosis and Prognosis of Lung Cancer by PET-CT Machine learning techniques in diagnostics and prediction of the clinical features of schizophrenia: a narrative review Advancing Brain Research through Surface-Enhanced Raman Spectroscopy (SERS): Current Applications and Future Prospects Photoacoustic Tomography with Temporal Encoding Reconstruction (PATTERN) for cross-modal individual analysis of the whole brain Classification of the quality of canine and feline ventrodorsal and dorsoventral thoracic radiographs through machine learning Cognitive and clinical predictors of a long-term course in obsessive compulsive disorder: A machine learning approach in a prospective cohort study A comprehensive review for artificial intelligence on neuroimaging in rehabilitation of ischemic stroke Artificial Intelligence in Urology: Application of a machine learning model to predict the risk of urolithiasis in a general population Machine learning approaches for early detection of non-alcoholic steatohepatitis based on clinical and blood parameters Enhancing psychiatric rehabilitation outcomes through a multimodal multitask learning model based on BERT and TabNet: An approach for personalized treatment and improved decision-making A non-invasive method to determine core temperature for cats and dogs using surface temperatures based on machine learning Performance reserves in brain-imaging-based phenotype prediction A review of machine learning applications for the proton MR spectroscopy workflow Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning Men and Therapy: Why We Need to End the Stigma Applications of Artificial Intelligence in Prostate Cancer Care: A Path to Enhanced Efficiency and Outcomes Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis Multimodal deep learning for dementia classification using text and audio Cortical-cerebellar circuits changes in preschool ASD children by multimodal MRI Integrating Explainable Machine Learning in Clinical Decision Support Systems: Study Involving a Modified Design Thinking Approach Elements of End-of-Life Discussions Associated With Patients' Reported Outcomes and Actual End-of-Life Care in Patients With Pretreated Lung Cancer Deep Learning and Multimodal Artificial Intelligence in Orthopaedic Surgery A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer's disease Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023) An end-to-end method for predicting compound-protein interactions based on simplified homogeneous graph convolutional network and pre-trained language model How to approach patients and families at the end of life Artificial Intelligence in Nuclear Cardiology: An Update and Future Trends Pharmacologic Management of End-of-Life Delirium: Translating Evidence into Practice The role of AI and machine learning in the diagnosis of Parkinson's disease and atypical parkinsonisms Malnutrition management and the application of medical nutrition therapy in hospitalized patients at the end of life