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Development and training of a machine learning algorithm to identify patients at risk for recurrence following an arthroscopic Bankart repair (CLEARER): protocol for a retrospective, multicentre, cohort study
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Enhancing wrist arthroscopy: artificial intelligence applications for bone structure recognition using machine learning Predicting kidney allograft survival with explainable machine learning Machine Learning Predicts Unplanned Care Escalations for Post-Anesthesia Care Unit Patients during the Perioperative Period: A Single-Center Retrospective Study Monitoring Physical Behavior in Rehabilitation Using a Machine Learning-Based Algorithm for Thigh-Mounted Accelerometers: Development and Validation Study Predicting who has delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage using machine learning approach: a multicenter, retrospective cohort study 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 Machine learning, deep learning and hernia surgery. Are we pushing the limits of abdominal core health? A qualitative systematic review A machine learning model for predicting the lymph node metastasis of early gastric cancer not meeting the endoscopic curability criteria Application of Machine Learning in Multimorbidity Research: Protocol for a Scoping Review Application of Machine Learning in Multimorbidity Research: Protocol for a Scoping Review 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 Leveraging machine learning to enhance postoperative risk assessment in coronary artery bypass grafting patients with unprotected left main disease - A retrospective cohort study Leveraging machine learning to enhance postoperative risk assessment in coronary artery bypass grafting patients with unprotected left main disease - A retrospective cohort study Triple-0: Zero-shot denoising and dereverberation on an end-to-end frozen anechoic speech separation network Automated Identification of Aspirin-Exacerbated Respiratory Disease Using Natural Language Processing and Machine Learning: Algorithm Development and Evaluation Study Precise risk-prediction model including arterial stiffness for new-onset atrial fibrillation using machine learning techniques Age and number of lesions predict chalazion recurrence Vertebral compression fractures at abdominal CT: underdiagnosis, undertreatment and evaluation of an AI algorithm Developing a machine learning model for predicting venlafaxine active moiety concentration: a retrospective study using real-world evidence Automated Prediction of Proximal Middle Cerebral Artery Occlusions in Noncontrast Brain Computed Tomography Comprehensive machine learning-based integration develops a novel prognostic model for glioblastoma Phenotype clustering of hospitalized high-risk patients with COVID-19 - a machine learning approach within the multicentre, multinational PCHF-COVICAV registry Joint use of population pharmacokinetics and machine learning for prediction of valproic acid plasma concentration in elderly epileptic patients An interpretable ensemble structure with a non-iterative training algorithm to improve the predictive accuracy of healthcare data analysis Multidisciplinary cancer disease classification using adaptive FL in healthcare industry 5.0 Predictive modeling of ambulatory outcomes after spinal cord injury using machine learning An effective ensemble learning approach for classification of glioma grades based on novel MRI features AITeQ: a machine learning framework for Alzheimer's prediction using a distinctive five-gene signature Levodopa-induced dyskinesia in Parkinson's disease: Insights from cross-cohort prognostic analysis using machine learning Machine learning algorithms for predicting COVID-19 mortality in Ethiopia Machine learning algorithms for predicting COVID-19 mortality in Ethiopia Long-Term Mortality Predictors Using a Machine-Learning Approach in Patients With Chronic Limb-Threatening Ischemia After Peripheral Vascular Intervention Comparison of model feature importance statistics to identify covariates that contribute most to model accuracy in prediction of insomnia Inflammatory risk and cardiovascular events in patients without obstructive coronary artery disease: the ORFAN multicentre, longitudinal cohort study Inflammatory risk and cardiovascular events in patients without obstructive coronary artery disease: the ORFAN multicentre, longitudinal cohort study Machine learning identifies risk factors associated with long-term opioid use in fibromyalgia patients newly initiated on an opioid Machine learning analysis with population data for prepregnancy and perinatal risk factors for the neurodevelopmental delay of offspring Development of a machine learning algorithm to predict the residual cognitive reserve index Introducing a machine learning algorithm for delirium prediction-the Supporting SURgery with GEriatric Co-Management and AI project (SURGE-Ahead) Introducing a machine learning algorithm for delirium prediction-the Supporting SURgery with GEriatric Co-Management and AI project (SURGE-Ahead) Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort The impact of the combat method on radiomics feature compensation and analysis of scanners from different manufacturers Machine Teaching Allows for Rapid Development of Automated Systems for Retinal Lesion Detection From Small Image Datasets Detection of sweet corn seed viability based on hyperspectral imaging combined with firefly algorithm optimized deep learning Constructing prediction models and analyzing factors in suicidal ideation using machine learning, focusing on the older population A non-invasive method to determine core temperature for cats and dogs using surface temperatures based on machine learning Machine learning and artificial intelligence within pediatric autoimmune diseases: applications, challenges, future perspective Development of a scoring system to predict local recurrence in brain metastases following complete resection and observation AutoTemplate: enhancing chemical reaction datasets for machine learning applications in organic chemistry Non-alcoholic fatty liver disease increases the risk of biochemical recurrence in high-grade metastatic prostate cancer patients MRI radiomics based on deep learning automated segmentation to predict early recurrence of hepatocellular carcinoma A non-invasive artificial intelligence model for identifying axillary pathological complete response to neoadjuvant chemotherapy in breast cancer: a secondary analysis to multicenter clinical trial Personalized prediction of mortality in patients with acute ischemic stroke using explainable artificial intelligence Deep Learning Based Cystoscopy Image Enhancement Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies Evaluation of CD3 and CD8 T-Cell Immunohistochemistry for Prognostication and Prediction of Benefit From Adjuvant Chemotherapy in Early-Stage Colorectal Cancer Within the QUASAR Trial Extraction of sleep information from clinical notes of Alzheimer's disease patients using natural language processing Classification of white blood cells (leucocytes) from blood smear imagery using machine and deep learning models: A global scoping review Computer-vision analysis of craniofacial dysmorphology in 22q11.2 deletion syndrome and psychosis spectrum disorders 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 Enhancing identification performance of cognitive impairment high-risk based on a semi-supervised learning method Multimodal fusion of brain signals for robust prediction of psychosis transition Combining Transition Path Sampling with Data-Driven Collective Variables through a Reactivity-Biased Shooting Algorithm Evaluation of machine learning-based classification of clinical impairment and prediction of clinical worsening in multiple sclerosis
Evidence Blueprint
Development and training of a machine learning algorithm to identify patients at risk for recurrence following an arthroscopic Bankart repair (CLEARER): protocol for a retrospective, multicentre, cohort study
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Development and training of a machine learning algorithm to identify patients at risk for recurrence following an arthroscopic Bankart repair (CLEARER): protocol for a retrospective, multicentre, cohort study
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
Enhancing wrist arthroscopy: artificial intelligence applications for bone structure recognition using machine learning Predicting kidney allograft survival with explainable machine learning Predicting persistent opioid use after hand surgery: a machine learning approach Using Machine Learning to Predict Nonachievement of Clinically Significant Outcomes After Rotator Cuff Repair Training an Ising machine with equilibrium propagation Machine Learning Predicts Unplanned Care Escalations for Post-Anesthesia Care Unit Patients during the Perioperative Period: A Single-Center Retrospective Study Predicting disease severity in multiple sclerosis using multimodal data and machine learning A machine learning algorithm-based model for predicting the risk of non-suicidal self-injury among adolescents in western China: A multicentre cross-sectional study Monitoring Physical Behavior in Rehabilitation Using a Machine Learning-Based Algorithm for Thigh-Mounted Accelerometers: Development and Validation Study Protocol of a prospective community-based study about the onset and course of depression in a nationally representative cohort of adults in China: the China Depression Cohort Study-I Machine learning-based analysis for prediction of surgical necrotizing enterocolitis in very low birth weight infants using perinatal factors: a nationwide cohort study Predicting who has delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage using machine learning approach: a multicenter, retrospective cohort study 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 Machine learning, deep learning and hernia surgery. Are we pushing the limits of abdominal core health? A qualitative systematic review A machine learning model for predicting the lymph node metastasis of early gastric cancer not meeting the endoscopic curability criteria Machine learning in internet financial risk management: A systematic literature review 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 quetiapine dose in patients with depression using machine learning techniques based on real-world evidence 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 Leveraging machine learning to enhance postoperative risk assessment in coronary artery bypass grafting patients with unprotected left main disease - A retrospective cohort study Leveraging machine learning to enhance postoperative risk assessment in coronary artery bypass grafting patients with unprotected left main disease - A retrospective cohort study Academic machine learning researchers' ethical perspectives on algorithm development for health care: a qualitative study Triple-0: Zero-shot denoising and dereverberation on an end-to-end frozen anechoic speech separation network Clinical VMAT machine parameter optimization for localized prostate cancer using deep reinforcement learning Automated Identification of Aspirin-Exacerbated Respiratory Disease Using Natural Language Processing and Machine Learning: Algorithm Development and Evaluation Study LEARN algorithm: a novel option for predicting non-alcoholic steatohepatitis Genomic, Proteomic, and Phenotypic Biomarkers of COVID-19 Severity: Protocol for a Retrospective Observational Study Precise risk-prediction model including arterial stiffness for new-onset atrial fibrillation using machine learning techniques Development of A Radiomic Model for MGMT Promoter Methylation Detection in Glioblastoma Using Conventional MRI Protocol to explain support vector machine predictions via exact Shapley value computation Age and number of lesions predict chalazion recurrence Prediction of dementia based on older adults' sleep disturbances using machine learning Vertebral compression fractures at abdominal CT: underdiagnosis, undertreatment and evaluation of an AI algorithm Evaluation of a machine learning tool for the early identification of patients with undiagnosed psoriatic arthritis - A retrospective population-based study Developing a machine learning model for predicting venlafaxine active moiety concentration: a retrospective study using real-world evidence Automated Prediction of Proximal Middle Cerebral Artery Occlusions in Noncontrast Brain Computed Tomography MAFLD fibrosis score: Using routine measures to identify advanced fibrosis in metabolic-associated fatty liver disease Comprehensive machine learning-based integration develops a novel prognostic model for glioblastoma Phenotype clustering of hospitalized high-risk patients with COVID-19 - a machine learning approach within the multicentre, multinational PCHF-COVICAV registry Joint use of population pharmacokinetics and machine learning for prediction of valproic acid plasma concentration in elderly epileptic patients Psychological Readiness to Return to Sport After Shoulder Instability Early identification of autism spectrum disorder based on machine learning with eye-tracking data An interpretable ensemble structure with a non-iterative training algorithm to improve the predictive accuracy of healthcare data analysis A Machine Learning Algorithm Improves the Diagnostic Accuracy of the Histologic Component of Antibody Mediated Rejection (AMR-H) in Cardiac Transplant Endomyocardial Biopsies Identification of diagnostic signatures for ischemic stroke by machine learning algorithm Machine learning and deep neural network-based learning in osteoarthritis knee A novel risk score predicting 30-day hospital re-admission of patients with acute stroke by machine learning model Anatomical diversity of the adult corticospinal tract revealed by single cell transcriptional profiling Multidisciplinary cancer disease classification using adaptive FL in healthcare industry 5.0 Risk Factors of Emergency Department Utilization After Outpatient Surgery for Sports-Related Injuries Predictive modeling of ambulatory outcomes after spinal cord injury using machine learning An effective ensemble learning approach for classification of glioma grades based on novel MRI features AITeQ: a machine learning framework for Alzheimer's prediction using a distinctive five-gene signature Assessment of learning in simulator-based arthroscopy training with the diagnostic arthroscopy skill score (DASS) and neurophysiological measures A multi-objective optimized OLSR routing protocol Unveiling the Potential of Machine Learning in Schizophrenia Diagnosis: A Meta-Analytic Study of Task-Based Neuroimaging Data Levodopa-induced dyskinesia in Parkinson's disease: Insights from cross-cohort prognostic analysis using machine learning Machine learning algorithms for predicting COVID-19 mortality in Ethiopia Machine learning algorithms for predicting COVID-19 mortality in Ethiopia Long-Term Mortality Predictors Using a Machine-Learning Approach in Patients With Chronic Limb-Threatening Ischemia After Peripheral Vascular Intervention Comparison of model feature importance statistics to identify covariates that contribute most to model accuracy in prediction of insomnia Machine Learning Identifies Smartwatch-Based Physiological Biomarker for Predicting Disruptive Behavior in Children: A Feasibility Study Inflammatory risk and cardiovascular events in patients without obstructive coronary artery disease: the ORFAN multicentre, longitudinal cohort study