Actively Recruiting
AI-Based Cancer Diagnosis and Prediction Using Electronic Health Records
Led by The Eye Hospital of Wenzhou Medical University · Updated on 2025-07-30
1000000
Participants Needed
7
Research Sites
N/A
Total Duration
On this page
AI-Summary
What this Trial Is About
This research aims to evaluate an AI-assisted predictive model designed to identify and diagnose cancer by using a wide range of health data. It focuses on early cancer detection to improve patient outcomes and survival rates, integrating medical history, lab results, imaging scans, and genetic markers. The study builds on a previous phase that analyzed data from around one million cancer patients to develop initial models. The current phase is a prospective, multi-center observational study launched in February 2025. It involves two groups: a healthy cohort without diagnosed cancer serving as a control group, and a tumor cohort of individuals diagnosed with various cancers. The AI system uses deep learning to analyze multimodal data from electronic health records, lab tests, imaging, and genetics to predict cancer risk and improve diagnostic accuracy. Participants will provide comprehensive health records including medical history and test results. Researchers will measure outcomes such as diagnostic accuracy using Area Under the Curve (AUC) and F1 Score over one year. Secondary outcomes include sensitivity and specificity of cancer detection. The study does not involve treatment but observes and compares data from both groups to validate the AI model's effectiveness in real-world clinical settings.
CONDITIONS
Brief Title
AI-Driven Cancer Diagnosis and Prediction With EHR
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients with comprehensive electronic health records, including medical history, laboratory results, imaging data, and genetic data if available
- Individuals without severe cognitive impairments or conditions preventing informed consent or participation
- Parents or guardians must provide consent for minors; adults must consent for themselves
You will not qualify if you...
- Patients with incomplete or missing key electronic health record data or insufficient follow-up
- Individuals with severe cognitive disorders or terminal illnesses preventing meaningful participation
- Pregnant women
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person or remote) for eligibility assessment
Duration - Up to 1 year
Participants undergo evaluation using an AI-based diagnostic system that analyzes their electronic health records, imaging, laboratory, and genetic data to predict cancer risk and support early detection.
Data are collected from existing electronic health records without additional visits
Duration - Up to 1 year
Participants are observed over time to monitor cancer outcomes and the effectiveness of the AI-assisted prediction model in a real-world clinical setting.
Ongoing observation through routine healthcare data; no additional visits required
Trial Site Locations
Total: 7 locations
1
Guangzhou Women and Children's Medical Center
Guangzhou, Guangdong, China
Actively Recruiting
2
Nanfang Hospital
Guangzhou, Guangdong, China
Actively Recruiting
3
Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University
Guangzhou, Guangdong, China
Actively Recruiting
4
Sun Yat-sen University Cancer Hospital
Guangzhou, Guangdong, China
Actively Recruiting
5
West China Hospital
Chengdu, Sichuan, China
Actively Recruiting
6
First Affiliated Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, China
Actively Recruiting
7
Second Affiliated Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, China
Actively Recruiting
Research Team
F
Fei Liu, MD
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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