Evidence
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External validation study on the value of deep learning algorithm for the prediction of hematoma expansion from noncontrast CT scans
🌐 90 Days
AI Virtual Reality Related Evidence Matrix
- Automated Prediction of Proximal Middle Cerebral Artery Occlusions in Noncontrast Brain Computed Tomography
- Automated abdominal CT contrast phase detection using an interpretable and open-source artificial intelligence algorithm
- Deep Learning-Based Automatic Classification of Ischemic Stroke Subtype Using Diffusion-Weighted Images
- Deep Learning-Based Prediction of Individual Geographic Atrophy Progression from a Single Baseline OCT
- Development and validation of a new algorithm for improved cardiovascular risk prediction
- Improving the Prognostic Evaluation Precision of Hospital Outcomes for Heart Failure Using Admission Notes and Clinical Tabular Data: Multimodal Deep Learning Model
- Effects of Achieving Rapid, Intensive, and Sustained Blood Pressure Reduction in Intracerebral Hemorrhage Expansion and Functional Outcome
- PSMA-positive prostatic volume prediction with deep learning based on T2-weighted MRI
- Development and external validation of a machine learning model for the prediction of persistent acute kidney injury stage 3 in multi-centric, multi-national intensive care cohorts
- Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center Study
- Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry
- Correlating Age and Hematoma Volume with Extent of Midline Shift in Acute Subdural Hematoma Patients: Validation of an Artificial Intelligence Tool for Volumetric Analysis
- A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis
- Assessment of changes in vessel area during needle manipulation in microvascular anastomosis using a deep learning-based semantic segmentation algorithm: A pilot study
- Risk stratification and predictive modeling of postoperative delirium in chronic subdural hematoma
- Risk stratification and predictive modeling of postoperative delirium in chronic subdural hematoma
- Detecting white spot lesions on post-orthodontic oral photographs using deep learning based on the YOLOv5x algorithm: a pilot study
- Deep learning to predict rapid progression of Alzheimer's disease from pooled clinical trials: A retrospective study
- Development and validation of a simple and practical model for early detection of diabetic macular edema in patients with type 2 diabetes mellitus using easily accessible systemic variables
- Prediction of prognosis using artificial intelligence-based histopathological image analysis in patients with soft tissue sarcomas
- DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery
- Multi-Instance Learning for Vocal Fold Leukoplakia Diagnosis Using White Light and Narrow-Band Imaging: A Multicenter Study
- Evaluation of a Cascaded Deep Learning-based Algorithm for Prostate Lesion Detection at Biparametric MRI
- Developing a machine learning model for predicting venlafaxine active moiety concentration: a retrospective study using real-world evidence
- Deep learning segmentation of non-perfusion area from color fundus images and AI-generated fluorescein angiography
- Deep learning system for screening AIDS-related cytomegalovirus retinitis with ultra-wide-field fundus images
- A supervised, externally validated machine learning model for artifact and drainage detection in high-resolution intracranial pressure monitoring data
- Machine Learning-Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study
- Andexanet for Factor Xa Inhibitor-Associated Acute Intracerebral Hemorrhage
- Andexanet for Factor Xa Inhibitor-Associated Acute Intracerebral Hemorrhage
- Deceased-Donor Kidney Transplant Outcome Prediction Using Artificial Intelligence to Aid Decision-Making in Kidney Allocation
- Neural critic learning with accelerated value iteration for nonlinear model predictive control
- Choroidalyzer: An Open-Source, End-to-End Pipeline for Choroidal Analysis in Optical Coherence Tomography
- Deep learning-based whole-body PSMA PET/CT attenuation correction utilizing Pix-2-Pix GAN
- Enhancing Nasopharyngeal Carcinoma Survival Prediction: Integrating Pre- and Post-Treatment MRI Radiomics with Clinical Data
- Optical coherence tomography choroidal enhancement using generative deep learning
- Deep learning in the radiologic diagnosis of osteoporosis: a literature review
- Prediction of Postoperative Urinary Tract Infection Following Benign Gynecologic Surgery
- A Machine Learning Algorithm Improves the Diagnostic Accuracy of the Histologic Component of Antibody Mediated Rejection (AMR-H) in Cardiac Transplant Endomyocardial Biopsies
- SVPath: A Deep Learning Tool for Analysis of Stria Vascularis from Histology Slides
- Construction of influencing factor segmentation and intelligent prediction model of college students' cell phone addiction model based on machine learning algorithm
- Handloomed fabrics recognition with deep learning
- Prediction of LncRNA-protein Interactions Using Auto-Encoder, SE-ResNet Models and Transfer Learning
- Detection of sweet corn seed viability based on hyperspectral imaging combined with firefly algorithm optimized deep learning
- Deep Learning-Assisted Spectrum-Structure Correlation: State-of-the-Art and Perspectives
- AI algorithm combined with RNA editing-based blood biomarkers to discriminate bipolar from major depressive disorders in an external validation multicentric cohort
- Diagnosing schizophrenia using deep learning: Novel interpretation approaches and multi-site validation
- Reconstruction of 3D knee MRI using deep learning and compressed sensing: a validation study on healthy volunteers
- Comparative analysis of supervised learning algorithms for prediction of cardiovascular diseases
- From Pixels to Prognosis: Unlocking the Potential of Deep Learning in Fibrotic Lung Disease Imaging Analysis
- Deep learning system for malignancy risk prediction in cystic renal lesions: a multicenter study
- Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence
- A new paradigm for applying deep learning to protein-ligand interaction prediction
- A novel deep learning method to segment parathyroid glands on intraoperative videos of thyroid surgery
- Detection and classification of mandibular fractures in panoramic radiography using artificial intelligence
- Esophageal submucosal hematoma during transnasal endoscopy: A rare case report
- Prediction of Amyloid Positivity in Patients with Subcortical Vascular Cognitive Impairment
- Predicting the complexity and mortality of polytrauma patients with machine learning models
- Development and internal validation of a nomogram to predict temporary acute agitated delirium after surgery for chronic subdural hematoma in elderly patients: an analysis of the clinical database
- Development and internal validation of a nomogram to predict temporary acute agitated delirium after surgery for chronic subdural hematoma in elderly patients: an analysis of the clinical database
- Deep Learning Based Cystoscopy Image Enhancement
- Applications of Deep Learning in Trauma Radiology: A Narrative Review
- Predicting Outcomes Following Lower Extremity Endovascular Revascularization Using Machine Learning
- Artificial Intelligence-Derived Risk Prediction: A Novel Risk Calculator Using Office and Ambulatory Blood Pressure
Evidence Blueprint
External validation study on the value of deep learning algorithm for the prediction of hematoma expansion from noncontrast CT scans
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More Evidence
External validation study on the value of deep learning algorithm for the prediction of hematoma expansion from noncontrast CT scans
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
- Automated Prediction of Proximal Middle Cerebral Artery Occlusions in Noncontrast Brain Computed Tomography
- Brain age prediction using combined deep convolutional neural network and multi-layer perceptron algorithms
- Automated abdominal CT contrast phase detection using an interpretable and open-source artificial intelligence algorithm
- Deep learning-assisted identification and quantification of aneurysmal subarachnoid hemorrhage in non-contrast CT scans: development and external validation of Hybrid 2D/3D UNet
- Deep Learning-Based Automatic Classification of Ischemic Stroke Subtype Using Diffusion-Weighted Images
- A dynamic machine learning model for prediction of NAFLD in a health checkup population: A longitudinal study
- ANDEXANET ALFA VS NON-SPECIFIC TREATMENTS FOR INTRACEREBRAL HEMORRHAGE IN PATIENTS TAKING FACTOR XA INHIBITORS - INDIVIDUAL PATIENT DATA ANALYSIS OF ANNEXA-4 AND TICH-NOAC
- Deep Learning-Based Prediction of Individual Geographic Atrophy Progression from a Single Baseline OCT
- Development and validation of a new algorithm for improved cardiovascular risk prediction
- Improving the Prognostic Evaluation Precision of Hospital Outcomes for Heart Failure Using Admission Notes and Clinical Tabular Data: Multimodal Deep Learning Model
- Effects of Achieving Rapid, Intensive, and Sustained Blood Pressure Reduction in Intracerebral Hemorrhage Expansion and Functional Outcome
- PSMA-positive prostatic volume prediction with deep learning based on T2-weighted MRI
- Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005-2018
- Classification of suicidality by training supervised machine learning models with brain MRI findings: A systematic review
- Identification and validation of cuproptosis-related molecular clusters in non-alcoholic fatty liver disease
- Global and Regional Deep Learning Models for Multiple Sclerosis Stratification From MRI
- Development and external validation of a machine learning model for the prediction of persistent acute kidney injury stage 3 in multi-centric, multi-national intensive care cohorts
- Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center Study
- Multiple Classification of Brain MRI Autism Spectrum Disorder by Age and Gender Using Deep Learning
- Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry
- Correlating Age and Hematoma Volume with Extent of Midline Shift in Acute Subdural Hematoma Patients: Validation of an Artificial Intelligence Tool for Volumetric Analysis
- Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study
- A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis
- Practical diagnosis of cirrhosis in non-alcoholic fatty liver disease using currently available non-invasive fibrosis tests
- Assessment of changes in vessel area during needle manipulation in microvascular anastomosis using a deep learning-based semantic segmentation algorithm: A pilot study
- Risk stratification and predictive modeling of postoperative delirium in chronic subdural hematoma
- Risk stratification and predictive modeling of postoperative delirium in chronic subdural hematoma
- Detecting white spot lesions on post-orthodontic oral photographs using deep learning based on the YOLOv5x algorithm: a pilot study
- Deep learning to predict rapid progression of Alzheimer's disease from pooled clinical trials: A retrospective study
- Machine learning prediction models for in-hospital postoperative functional outcome after moderate-to-severe traumatic brain injury
- A Deep Learning Model for Screening Computed Tomography Imaging for Thyroid Eye Disease and Compressive Optic Neuropathy
- Application of bidirectional long short-term memory network for prediction of cognitive age
- Development and validation of a simple and practical model for early detection of diabetic macular edema in patients with type 2 diabetes mellitus using easily accessible systemic variables
- Machine Learning-Based Approach to Predict Intrauterine Growth Restriction
- AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection
- Traditional machine learning methods vs. deep learning for meningioma classification, grading, outcome prediction, and segmentation: a systematic review and meta-analysis
- Application of Hybrid DeepLearning Architectures for Identification of Individuals with Obsessive Compulsive Disorder Based on EEG Data
- Prediction of prognosis using artificial intelligence-based histopathological image analysis in patients with soft tissue sarcomas
- A 3D convolutional neural network to classify subjects as Alzheimer's disease, frontotemporal dementia or healthy controls using brain 18F-FDG PET
- Machine Learning-Based Prediction of Suicidality in Adolescents With Allergic Rhinitis: Derivation and Validation in 2 Independent Nationwide Cohorts
- DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery
- Detecting schizophrenia with 3D structural brain MRI using deep learning
- Pediatric scurvy case report: a novel presentation with deep vein thrombosis secondary to large bilateral spontaneous iliac subperiosteal hematomas
- Multi-Instance Learning for Vocal Fold Leukoplakia Diagnosis Using White Light and Narrow-Band Imaging: A Multicenter Study
- Evaluation of a Cascaded Deep Learning-based Algorithm for Prostate Lesion Detection at Biparametric MRI
- Direct image to subtype prediction for brain tumors using deep learning
- Developing a machine learning model for predicting venlafaxine active moiety concentration: a retrospective study using real-world evidence
- Deep learning segmentation of non-perfusion area from color fundus images and AI-generated fluorescein angiography
- Prediction of opioid-related outcomes in a medicaid surgical population: Evidence to guide postoperative opiate therapy and monitoring
- Raman spectroscopy applied to online monitoring of a bioreactor: Tackling the limit of detection
- Deep learning system for screening AIDS-related cytomegalovirus retinitis with ultra-wide-field fundus images
- A supervised, externally validated machine learning model for artifact and drainage detection in high-resolution intracranial pressure monitoring data
- Interpretable artificial intelligence for classification of alveolar bone defect in patients with cleft lip and palate
- Predicting extremely low body weight from 12-lead electrocardiograms using a deep neural network
- Machine Learning-Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study
- Unveiling the Enigma: Exploring Risk Factors and Mechanisms for Psychotic Symptoms in Alzheimer's Disease through Electronic Medical Records with Deep Learning Models
- Andexanet for Factor Xa Inhibitor-Associated Acute Intracerebral Hemorrhage
- Andexanet for Factor Xa Inhibitor-Associated Acute Intracerebral Hemorrhage
- Automated Quantification of Eye Tics Using Computer Vision and Deep Learning Techniques
- Deep learning tools to accelerate antibiotic discovery
- MULTI-TASK DEEP LEARNING AND UNCERTAINTY ESTIMATION FOR PET HEAD MOTION CORRECTION
- Deceased-Donor Kidney Transplant Outcome Prediction Using Artificial Intelligence to Aid Decision-Making in Kidney Allocation
- Neural critic learning with accelerated value iteration for nonlinear model predictive control
- Choroidalyzer: An Open-Source, End-to-End Pipeline for Choroidal Analysis in Optical Coherence Tomography