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AI-Driven Cancer Diagnosis and Prediction 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 identifying and diagnosing cancer, leveraging multimodal health data.
Official title: AI-Based Cancer Diagnosis and Prediction Using Electronic Health Records
Key Details
Gender
All
Age Range
0 Years - 90 Years
Study Type
OBSERVATIONAL
Enrollment
1000000
Start Date
2025-01-19
Completion Date
2025-10-01
Last Updated
2025-07-30
Healthy Volunteers
Yes
Conditions
Interventions
AI-Based Diagnostic and Prognostic Model
This intervention involves an AI system that integrates multimodal data, including patient medical history, laboratory test results, imaging data, and genetic information, to predict the risk of cancer. The system uses deep learning algorithms to provide real-time, accurate predictions, enabling early identification of cancer risks. By analyzing historical health data, the model aims to predict potential cancer developments, improving early detection and treatment outcomes.
Locations (7)
Guangzhou Women and Children's Medical Center
Guangzhou, Guangdong, China
Nanfang Hospital
Guangzhou, Guangdong, China
Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University
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