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AI-Agent for Automated Diagnosis and Predicting Using EHR and Multimodal Data
Sponsor: The Eye Hospital of Wenzhou Medical University
Summary
The goal of this clinical study is to evaluate the effectiveness of an AI agent in diagnosing and predicting diseases using electronic health records (EHR) and multimodal imaging data. The AI agent leverages advanced machine learning algorithms to process and analyze diverse health data sources, aiming to assist healthcare providers in making more accurate diagnoses and predictions.
Official title: AI-Agent Assisted Automation for Diagnosing and Predicting Patients Using Electronic Health Records and Multimodal Data
Key Details
Gender
All
Age Range
Any - Any
Study Type
OBSERVATIONAL
Enrollment
2000000
Start Date
2023-07-01
Completion Date
2025-07
Last Updated
2025-04-17
Healthy Volunteers
Yes
Conditions
Locations (6)
Nanfang Hospital
Guangzhou, Guangdong, China
Sun Yat-Sen Memorial Hospital
Guangzhou, Guangdong, China
Sun Yat-sen University Cancer Hospital
Guangzhou, Guangdong, China
West China Hospital
Chengdu, Sichuan, China
First Affiliated Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, China
Second Affiliated Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, China