Development and Demonstration of Intelligent Assessment Based on Multi-modal Information Fusion for Tumor Risk and Diagnosis and Treatment
Recruiting now
Conditions studied: Artificial Intelligence, Deep Learning, Lung Cancer, Lung; Node, Stomach Cancer, Colon Cancer, Cancer Risk, Cancer Screening, Cancer, Treatment-Related
In brief
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.
Key facts
- Study ID
- NCT06653478
- Run by
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
- People needed
- 3000
- Starts
- 2022-06-01
- Expected to finish
- 2026-10-01
- Last updated by the study team
- 2024-10-22
Who can join
Age: 18 and older, up to 75. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- 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.
You may not qualify if…
- 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
- Wuhan Union Hospital — Wuhan, Hubei, China (enrolling)
Full record on ClinicalTrials.gov
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