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AI-Driven Cancer Diagnosis and Prediction With EHR

NCT06791473 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000000

Last updated 2025-07-30

No results posted yet for this study

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.

Conditions

  • Tumor

Interventions

DIAGNOSTIC_TEST

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.

Sponsors & Collaborators

  • The Eye Hospital of Wenzhou Medical University

    lead OTHER

Eligibility

Min Age
0 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-01-19
Primary Completion
2025-10-01
Completion
2025-10-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06791473 on ClinicalTrials.gov