AI-Driven Cancer Diagnosis and Prediction With EHR
AI-Based Cancer Diagnosis and Prediction Using Electronic Health Records
The Eye Hospital of Wenzhou Medical University
1,000,000 participants
Jan 19, 2025
OBSERVATIONAL
Conditions
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.
Eligibility
Inclusion Criteria3
- 、Patients with comprehensive electronic health records (EHRs), including medical history, laboratory test results, imaging data, and genetic data (if available).
- \. Individuals without severe cognitive impairments or conditions that would prevent them from providing informed consent or participating in the study.
- \. Parents or guardians must provide informed consent for minors, while adult participants must provide informed consent for themselves.
Exclusion Criteria3
- Patients with incomplete or missing key electronic health record data or insufficient follow-up data.
- Individuals with severe cognitive disorders or other terminal illnesses that would prevent meaningful participation.
- Pregnant women (although pediatric cancers are being considered, pregnant women would be excluded for safety reasons).
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Interventions
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)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT06791473