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Development and Demonstration of Intelligent Assessment Based on Multi-modal Information Fusion for Tumor Risk and Diagnosis and Treatment

NCT06653478 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 3000

Last updated 2024-10-22

No results posted yet for this study

Summary

To improve the accuracy of risk prediction, screening and treatment outcome of cancer, we aim to establish a medical database that includes standardized and structured clinical diagnosis and treatment information, image features, pathological features, and multi-omics information and to develop a multi-modal data fusion-based technology system using artificial intelligence technology based on database.

Conditions

  • Artificial Intelligence
  • Deep Learning
  • Lung Cancer
  • Lung; Node
  • Stomach Cancer
  • Colon Cancer
  • Cancer Risk
  • Cancer Screening
  • Cancer, Treatment-Related

Interventions

OTHER

No Intervention

No Intervention

Sponsors & Collaborators

  • Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

    lead OTHER

Principal Investigators

  • Yang Jin · Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-06-01
Primary Completion
2025-10-01
Completion
2026-10-01

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

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 NCT06653478 on ClinicalTrials.gov