Development of an Artificial Intelligence System for Assessment of Tumor Risk and Diagnosis and Treatment Based on Multimodal Data Fusion Using Deep Learning Technology
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.