RecruitingNCT06653478

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

Sponsor

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

Enrollment

3,000 participants

Start Date

Jun 1, 2022

Study Type

OBSERVATIONAL

Conditions

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

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.

Eligibility

Min Age: 18 YearsMax Age: 75 Years

Inclusion Criteria4

Participants with the suspected of lung cancer/node, or stomach cancer/lesion, or colorectal cancer/leision
Participants that have signed informed consent.
Participants with detailed electronic medical records, image records, pathological records, multi-omics information, and other important clinical diagnostic information.
Healthy participants with no clinical diagnosis of lung cancer/node, or stomach cancer/lesion, or colorectal cancer/leision.

Exclusion Criteria3

Participants with primary clinical and pathological data missing.
Participants lost to follow-up.
Participants with too poor medical image quality to perform segment and mark ROI accurately