Development and Demonstration of Intelligent Assessment Based on Multi-modal Information Fusion for Tumor Risk and Diagnosis and Treatment
Recruiting · NCT06653478 · Observational (researchers observe without assigning treatment)
View the official record on ClinicalTrials.gov →Interventions studied
No Intervention
What this trial is about
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.
Who can take part
Age range
18 Years to 75 Years
Sex
All (male and female)
Healthy volunteers
Yes - healthy volunteers may be accepted
Phase
Not specified
Study type
Observational (researchers observe without assigning treatment)
Inclusion criteria
- 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 criteria
- 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
Where it is running
1 location listed.
- Wuhan Union Hospital - Wuhan, Hubei, China