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