A Multi-center Observational Clinical Study on the Development of Artificial Intelligence-Based Gastric Cancer Screening and Diagnosis Technology Using Multi-Omics Analysis of Tongue Imaging and Tongue Coating
A Multi-center Observational Clinical Study on the Development of Artificial Intelligence-Based Gastric Cancer Screening and Diagnosis Technology Using Multi-Omics Analysis of Tongue Imaging and Tongue Coating
In this study, the investigators will prospectively recruit 100,000 individuals, including gastric cancer patients who have not undergone any anti-tumor treatment and non-gastric cancer participants. The investigators will construct a diagnostic model for malignant tumors based on the combination of tongue imaging, tongue coating, saliva, gastric juice, and fecal multi-omics data (including metagenomics, proteomics, metabolomics, etc.). Additionally, the study will explore the relationship between oral, gastric, and intestinal microbiota and the development of malignant tumors.
Patients with gastric cancer were recruited through outpatient clinics, endoscopy units, and inpatient departments of various centers, with all patients requiring a histopathological diagnosis. Non-gastric cancer participants were sourced from community health check-ups, outpatient clinics, and endoscopy units affiliated with these centers.
Inclusion Criteria for Gastric Cancer Patients:
Exclusion Criteria for Gastric Cancer Patients:
Inclusion Criteria for Healthy Participants:
Exclusion Criteria for Healthy Participants:
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