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AI Research
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Development, validation, and feature extraction of a deep learning model predicting in-hospital mortality using Japan’s largest national ICU database: a validation framework for transparent clinical Artificial Intelligence (cAI) development
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🌐 90 Days
AI Virtual Reality Related Evidence Matrix
Early sepsis mortality prediction model based on interpretable machine learning approach: development and validation study Artificial Intelligence-Enabled Electrocardiography Predicts Future Pacemaker Implantation and Adverse Cardiovascular Events 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 Development and validation of an artificial intelligence model for predicting de novo distant bone metastasis in breast cancer: a dual-center study A Theory and Evidence-Based Artificial Intelligence-Driven Motivational Digital Assistant to Decrease Vaccine Hesitancy: Intervention Development and Validation An Effective Deep Learning Framework for Fall Detection: Model Development and Study Design The use of artificial intelligence in musculoskeletal ultrasound: a systematic review of the literature Predicting blood-brain barrier permeability of molecules with a large language model and machine learning Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data Data set terminology of deep learning in medicine: a historical review and recommendation Advancing Medical Imaging Research Through Standardization: The Path to Rapid Development, Rigorous Validation, and Robust Reproducibility Cluster analysis of thoracic muscle mass using artificial intelligence in severe pneumonia Cluster analysis of thoracic muscle mass using artificial intelligence in severe pneumonia Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening Cohort Multi-Instance Learning for Vocal Fold Leukoplakia Diagnosis Using White Light and Narrow-Band Imaging: A Multicenter Study A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy Predictive model of risk factors for 28-day mortality in patients with sepsis or sepsis-associated delirium based on the MIMIC-IV database Interpretable machine learning model for predicting acute kidney injury in critically ill patients Applications of artificial intelligence for adolescent idiopathic scoliosis: mapping the evidence Applications of artificial intelligence for adolescent idiopathic scoliosis: mapping the evidence Zogala D. Artificial intelligence in medical imaging Using artificial intelligence to predict mortality in AKI patients: a systematic review/meta-analysis Machine Learning for Predicting Stillbirth: A Systematic Review Identifying subtypes of type 2 diabetes mellitus with machine learning: development, internal validation, prognostic validation and medication burden in linked electronic health records in 420 448 individuals Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis Automated Prediction of Proximal Middle Cerebral Artery Occlusions in Noncontrast Brain Computed Tomography Deep Convolutional Neural Network for Automated Staging of Periodontal Bone Loss Severity on Bite-wing Radiographs: An Eigen-CAM Explainability Mapping Approach DEL-Thyroid: deep ensemble learning framework for detection of thyroid cancer progression through genomic mutation An elastic net regression model for predicting the risk of ICU admission and death for hospitalized patients with COVID-19 An elastic net regression model for predicting the risk of ICU admission and death for hospitalized patients with COVID-19 Deep learning-based IDH1 gene mutation prediction using histopathological imaging and clinical data Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches Preoperative CT-based radiomics and deep learning model for predicting risk stratification of gastric gastrointestinal stromal tumors Artificial Intelligence and Deep Learning in Sensors and Applications Prediction of prognosis using artificial intelligence-based histopathological image analysis in patients with soft tissue sarcomas New Horizons of Model Informed Drug Development in Rare Diseases Drug Development Research progress of deep learning applications in mass spectrometry imaging data analysis WBi-YOLOSF: improved feature pyramid network for aquatic real-time target detection under the artificial rabbits optimization Building Dual AI Models and Nomograms Using Noninvasive Parameters for Aiding Male Bladder Outlet Obstruction Diagnosis and Minimizing the Need for Invasive Video-Urodynamic Studies: Development and Validation Study Generating Complex Explanations for Artificial Intelligence Models: An Application to Clinical Data on Severe Mental Illness A systematic review of machine learning models for management, prediction and classification of ARDS AFFnet - a deep convolutional neural network for the detection of atypical femur fractures from anteriorposterior radiographs Deep learning in pulmonary nodule detection and segmentation: a systematic review Development and application of a risk nomogram for the prediction of risk of carbapenem-resistant Acinetobacter baumannii infections in neuro-intensive care unit: a mixed method study Application of artificial intelligence-based magnetic resonance imaging in diagnosis of cerebral small vessel disease Leveraging artificial intelligence in vaccine development: A narrative review Artificial intelligence in fusion protein three-dimensional structure prediction: Review and perspective Characterizing Sentinel Lymph Node Status in Breast Cancer Patients Using a Deep-Learning Model Compared With Radiologists' Analysis of Grayscale Ultrasound and Lymphosonography Applications of Artificial Intelligence in Prostate Cancer Care: A Path to Enhanced Efficiency and Outcomes Radiomics diagnostic performance for predicting lymph node metastasis in esophageal cancer: a systematic review and meta-analysis Artificial Intelligence in Military Medicine Development and validation of a model to predict ceiling of care in COVID-19 hospitalized patients Factor-GAN: Enhancing stock price prediction and factor investment with Generative Adversarial Networks Utilization of Artificial Intelligence in Minimally Invasive Right Adrenalectomy: Recognition of Anatomical Landmarks with Deep Learning Exploring the deep learning of artificial intelligence in nursing: a concept analysis with Walker and Avant's approach Development and external validation of a logistic and a penalized logistic model using machine-learning techniques to predict suicide attempts: A multicenter prospective cohort study in Korea Artificial intelligence assisted ultrasound for the non-invasive prediction of axillary lymph node metastasis in breast cancer Microbial metaproteomics--From sample processing to data acquisition and analysis Microbial metaproteomics--From sample processing to data acquisition and analysis A fully automated and explainable algorithm for predicting malignant transformation in oral epithelial dysplasia Machine learning algorithms for predicting COVID-19 mortality in Ethiopia Machine learning algorithms for predicting COVID-19 mortality in Ethiopia Artificial intelligence model for automated surgical instrument detection and counting: an experimental proof-of-concept study Bone metastasis prediction in non-small-cell lung cancer: primary CT-based radiomics signature and clinical feature
Evidence Blueprint
Development, validation, and feature extraction of a deep learning model predicting in-hospital mortality using Japan’s largest national ICU database: a validation framework for transparent clinical Artificial Intelligence (cAI) development
![](https://psychiatryai.com/wp-content/uploads/2023/04/psychiatryai_com.webp)
☊ AI-Driven Related Evidence Nodes
(recent articles with at least 5 words in title)
More Evidence
![](https://psychiatryai.com/wp-content/uploads/2023/04/psychiatryai_com.webp)
Development, validation, and feature extraction of a deep learning model predicting in-hospital mortality using Japan’s largest national ICU database: a validation framework for transparent clinical Artificial Intelligence (cAI) development
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
Early sepsis mortality prediction model based on interpretable machine learning approach: development and validation study Improving the Prognostic Evaluation Precision of Hospital Outcomes for Heart Failure Using Admission Notes and Clinical Tabular Data: Multimodal Deep Learning Model Artificial Intelligence-Enabled Electrocardiography Predicts Future Pacemaker Implantation and Adverse Cardiovascular Events 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 Development and validation of an artificial intelligence model for predicting de novo distant bone metastasis in breast cancer: a dual-center study Predicting the complexity and mortality of polytrauma patients with machine learning models A Theory and Evidence-Based Artificial Intelligence-Driven Motivational Digital Assistant to Decrease Vaccine Hesitancy: Intervention Development and Validation An Effective Deep Learning Framework for Fall Detection: Model Development and Study Design The use of artificial intelligence in musculoskeletal ultrasound: a systematic review of the literature Predicting blood-brain barrier permeability of molecules with a large language model and machine learning Prognostic models predicting transition to psychotic disorder using blood-based biomarkers: a systematic review and critical appraisal Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data Data set terminology of deep learning in medicine: a historical review and recommendation Diagnosing schizophrenia using deep learning: Novel interpretation approaches and multi-site validation Advancing Medical Imaging Research Through Standardization: The Path to Rapid Development, Rigorous Validation, and Robust Reproducibility Cluster analysis of thoracic muscle mass using artificial intelligence in severe pneumonia Cluster analysis of thoracic muscle mass using artificial intelligence in severe pneumonia Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening Cohort Multi-Instance Learning for Vocal Fold Leukoplakia Diagnosis Using White Light and Narrow-Band Imaging: A Multicenter Study A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy Radiomics and Artificial Intelligence in Renal Lesion Assessment Predictive model of risk factors for 28-day mortality in patients with sepsis or sepsis-associated delirium based on the MIMIC-IV database From Bench-to-Bedside: How Artificial Intelligence Is Changing Thyroid Nodule Diagnostics Interpretable machine learning model for predicting acute kidney injury in critically ill patients The predictive accuracy of machine learning for the risk of death in HIV patients: a systematic review and meta-analysis Applications of artificial intelligence for adolescent idiopathic scoliosis: mapping the evidence Applications of artificial intelligence for adolescent idiopathic scoliosis: mapping the evidence Zogala D. Artificial intelligence in medical imaging Using artificial intelligence to predict mortality in AKI patients: a systematic review/meta-analysis Machine Learning for Predicting Stillbirth: A Systematic Review Development and Validation of a Machine Learning-Based Model of Mortality Risk in First-Episode Psychosis Identifying subtypes of type 2 diabetes mellitus with machine learning: development, internal validation, prognostic validation and medication burden in linked electronic health records in 420 448 individuals The development and internal validation of a multivariable model predicting 6-month mortality for people with opioid use disorder presenting to community drug services in England: a protocol Development and Internal Validation of a Model for Predicting Overall Survival in Subjects with MAFLD: A Cohort Study A novel artificial intelligence-based endoscopic ultrasonography diagnostic system for diagnosing the invasion depth of early gastric cancer An artificial intelligence-generated model predicts 90-day survival in alcohol-associated hepatitis: A global cohort study Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery Automated Prediction of Proximal Middle Cerebral Artery Occlusions in Noncontrast Brain Computed Tomography Transparency in Artificial Intelligence Reporting in Ophthalmology-A Scoping Review Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis Application of deep learning in radiation therapy for cancer Deep Convolutional Neural Network for Automated Staging of Periodontal Bone Loss Severity on Bite-wing Radiographs: An Eigen-CAM Explainability Mapping Approach Establishment and analysis of a novel diagnostic model for systemic juvenile idiopathic arthritis based on machine learning DEL-Thyroid: deep ensemble learning framework for detection of thyroid cancer progression through genomic mutation An elastic net regression model for predicting the risk of ICU admission and death for hospitalized patients with COVID-19 An elastic net regression model for predicting the risk of ICU admission and death for hospitalized patients with COVID-19 Deep learning-based IDH1 gene mutation prediction using histopathological imaging and clinical data Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches Prediction of LncRNA-protein Interactions Using Auto-Encoder, SE-ResNet Models and Transfer Learning A gated recurrent unit model based on ultrasound images of dynamic tongue movement for determining the severity of obstructive sleep apnea Preoperative CT-based radiomics and deep learning model for predicting risk stratification of gastric gastrointestinal stromal tumors Development and validation of a machine learning model to predict postoperative delirium using a nationwide database: A retrospective, observational study Artificial Intelligence and Deep Learning in Sensors and Applications Prediction of prognosis using artificial intelligence-based histopathological image analysis in patients with soft tissue sarcomas New Horizons of Model Informed Drug Development in Rare Diseases Drug Development Artificial intelligence for gastric cancer in endoscopy: From diagnostic reasoning to market Research progress of deep learning applications in mass spectrometry imaging data analysis WBi-YOLOSF: improved feature pyramid network for aquatic real-time target detection under the artificial rabbits optimization Building Dual AI Models and Nomograms Using Noninvasive Parameters for Aiding Male Bladder Outlet Obstruction Diagnosis and Minimizing the Need for Invasive Video-Urodynamic Studies: Development and Validation Study Generating Complex Explanations for Artificial Intelligence Models: An Application to Clinical Data on Severe Mental Illness A fusion of deep neural networks and game theory for retinal disease diagnosis with OCT images A systematic review of machine learning models for management, prediction and classification of ARDS