SYSTEM FOR GASTRIC CANCER RISK PREDICTION BASED-ON GASTROSCOPY IMAGE ANALTSIS USING ARTIFICIAL INTELLIGENCE

摘要

The present invention relates to a gastric cancer risk prediction system based on gastroscopy image analysis using artificial intelligence. According to the present invention, in a gastric cancer risk prediction system based on gastroscopic image analysis using artificial intelligence, a disease image reading unit and disease image reading for diagnosing the invention of superficial gastritis, atrophic gastritis, and intestinal metaplasia using artificial intelligence It includes a disease diagnosis unit for diagnosing Helicobacter pylori, gastritis reflux based on the results of the division, a final gastric cancer risk calculation unit for generating final gastric cancer risk information by analyzing the results of the disease image reading unit and the disease diagnosis unit. As described above, according to the present invention, the diagnosis of superficial gastritis, atrophic gastritis, and intestinal epithelial metaplasia, the degree of development, and the location of the onset are diagnosed by performing gastroendoscopic image analysis using artificial intelligence, and based on this, the diagnosis of Helicobacter pylori infection and reflux esophagitis Therefore, it is possible to quantitatively diagnose the risk of gastric cancer by calculating the total index of the final gastric cancer risk.