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AI-Driven Prediction of Dialysis Outcome With EHR
Sponsor: The Eye Hospital of Wenzhou Medical University
Summary
This is a multi-center, clinical study designed to evaluate the application and effectiveness of an AI-assisted predictive model for outcome of dialysis patients, leveraging multimodal health data.
Official title: Predicting Clinical Outcomes in Dialysis Patients Using Electronic Health Records: An AI-Based Approach
Key Details
Gender
All
Age Range
20 Years - 100 Years
Study Type
OBSERVATIONAL
Enrollment
1000000
Start Date
2023-01-01
Completion Date
2025-05-01
Last Updated
2025-04-17
Healthy Volunteers
No
Conditions
Interventions
AI-assisted Predictive Model for Dialysis Outcomes
This study utilizes an AI-assisted predictive model that analyzes multimodal data from electronic health records, including medical history, laboratory results, dialysis treatment details, and clinical observations, to predict outcomes for dialysis patients. The model employs deep learning algorithms to predict mortality risk, intermediate outcomes such as anemia, blood pressure control, nutrition, and calcium-phosphate metabolism, and helps identify early signs of deterioration. The intervention is not a direct treatment or procedure but aims to develop a tool for predicting patient outcomes and optimizing treatment strategies to improve overall health and survival rates for dialysis patients.
Locations (1)
General Hospital of PLA
Beijing, Beijing Municipality, China