Prediction of Risk Factors for Adverse Events After Head & Neck Vascular

See also
Status	Clinical Trial	Phase
Recruiting	`NCT05040958` - Carotid Atherosclerotic Plaque Load and Neck Circumference
Completed	`NCT04440553` - A Mobile App to Increase Physical Activity in Students	N/A
Completed	`NCT04966598` - Machine Learning Predict Acute Kidney Injury in Patients Following Cardiac Surgery
Completed	`NCT04977687` - Machine Learning Predict Renal Replacement Therapy After Cardiac Surgery
Completed	`NCT04828655` - Analysis of Bioparametric Measures for Correlating Daily Habits and Reducing Blood Pressure	N/A
Recruiting	`NCT06277297` - Prognotic Role of CMR in Takotsubo Syndrome
Recruiting	`NCT06204133` - Model Study on Cervical Cancer Screening Strategies and Risk Prediction
Completed	`NCT05085743` - Prediction of Endotracheal Tube Depth by Using Deep Convolutional Neural Networks
Not yet recruiting	`NCT05809232` - Impact of Machine Learning-based Clinician Decision Support Algorithms in Perioperative Care	N/A
Not yet recruiting	`NCT04399811` - Near-infrared Vision for Microcirculatory Status
Recruiting	`NCT05906719` - Machine Vision Based MDS-UPDRS III Machine Rating
Completed	`NCT06278272` - AI Evaluation of Pancreatic Exocrine Insufficiency in CP Patients
Withdrawn	`NCT05442762` - Social Media-based Vaccine Confidence and Hesitancy Monitoring
Not yet recruiting	`NCT06421480` - Using Machine Learning to Detect Risky Behavior in Psychiatric Clinics
Not yet recruiting	`NCT06428344` - Accuracy of an Artificial Intelligence-assisted Diagnostic System for Caries Diagnosis: a Prospective Multicenter Clinical Study
Not yet recruiting	`NCT06423066` - Developing a Machine Learning Model to Predict Pleural Adhesion Preoperatively Using Pleural Ultrasound
Not yet recruiting	`NCT05797064` - Establishment of a Feasibility Model for NOSE Surgery Based on Machine Learning
Recruiting	`NCT05410171` - Machine Learning-based Early Clinical Warning of High-risk Patients	N/A
Active, not recruiting	`NCT04192175` - Identification of Patients Admitted With COPD Exacerbations and Predicting Readmission Risk Using Machine Learning
Completed	`NCT05433519` - Diagnostic Accuracy of a Novel Machine Learning Algorithm to Estimate Gestational Age

NCT number	NCT06120478
Study type	Observational
Source	Tang-Du Hospital
Contact
Status	Completed
Phase
Start date	January 1, 2019
Completion date	October 1, 2023

Prediction of Risk Factors for Adverse Events After Head and Neck Vascular Recanalization Surgery Based on Machine Learning Models

Clinical Trial Summary

Clinical Trial Description

Study Design

Related Conditions & MeSH terms