Artificial Intelligence System for Assessment of Tumor Risk and Diagnosis and Treatment
Development of an Artificial Intelligence System for Assessment of Tumor Risk and Diagnosis and Treatment Based on Multimodal Data Fusion Using Deep Learning Technology
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
3,000 participants
Jun 1, 2022
OBSERVATIONAL
Conditions
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
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
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT05426135