AI-assisted cancer diagnosis using electronic health records
AI-Based Cancer Diagnosis and Prediction Using Electronic Health Records
This study is testing if an AI tool can help doctors find cancer earlier and more accurately by using information from patients' health records.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 1000000 (estimated) |
| Ages | 0 Years to 90 Years |
| Sex | All |
| Sponsor | The Eye Hospital of Wenzhou Medical University Academic / other |
| Locations | 7 sites (Guangzhou, Guangdong and 6 other locations) |
| Trial ID | NCT06791473 on ClinicalTrials.gov |
What this trial studies
This observational study evaluates the effectiveness of an AI-driven predictive model for identifying and diagnosing cancer by utilizing multimodal health data from electronic health records. The study aims to enhance diagnostic accuracy and speed by integrating various patient data, including medical history, laboratory results, imaging data, and genetic markers. By leveraging advancements in artificial intelligence, the goal is to improve early detection of cancers, optimize clinical workflows, and provide personalized treatment options for patients. Ultimately, this approach seeks to enhance patient survival rates through timely and accurate diagnosis.
Who should consider this trial
Good fit: Ideal candidates include patients with comprehensive electronic health records and no severe cognitive impairments.
Not a fit: Patients with incomplete electronic health record data or severe cognitive disorders may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could significantly improve early cancer detection and treatment outcomes for patients.
How similar studies have performed: Other studies utilizing AI for cancer diagnosis have shown promising results, indicating potential for success in this approach.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: 1、Patients with comprehensive electronic health records (EHRs), including medical history, laboratory test results, imaging data, and genetic data (if available). 2\. Individuals without severe cognitive impairments or conditions that would prevent them from providing informed consent or participating in the study. 3\. Parents or guardians must provide informed consent for minors, while adult participants must provide informed consent for themselves. Exclusion Criteria: 1. Patients with incomplete or missing key electronic health record data or insufficient follow-up data. 2. Individuals with severe cognitive disorders or other terminal illnesses that would prevent meaningful participation. 3. Pregnant women (although pediatric cancers are being considered, pregnant women would be excluded for safety reasons).
Where this trial is running
Guangzhou, Guangdong and 6 other locations
- Guangzhou Women and Children's Medical Center — Guangzhou, Guangdong, China (Recruiting)
- Nanfang Hospital — Guangzhou, Guangdong, China (Recruiting)
- Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University — Guangzhou, Guangdong, China (Recruiting)
- Sun Yat-sen University Cancer Hospital — Guangzhou, Guangdong, China (Recruiting)
- West China Hospital — Chengdu, Sichuan, China (Recruiting)
- First Affiliated Hospital of Wenzhou Medical University — Wenzhou, Zhejiang, China (Recruiting)
- Second Affiliated Hospital of Wenzhou Medical University — Wenzhou, Zhejiang, China (Recruiting)
Study contacts
- Study coordinator: Fei Liu, MD
- Email: liufei_2359@163.com
- Phone: +86 13810512704
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.