Artificial intelligence for evaluating the risk of gastric cancer: reliable detection and scoring of intestinal metaplasia with deep learning algorithms

2023/06/29 by Mai Iwaya, Yuichiro Hayashi, Yasuhiro Sakai +7 · 10 citations
Medicine · #Gastric Cancer Management and Outcomes #Colorectal Cancer Screening and Detection #Helicobacter pylori-related gastroenterology studies

paper · doi:10.1016/j.gie.2023.06.056

Citations

• Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012
• Follow-up of premalignant lesions in patients at risk for progression to gastric cancer
• Endoscopic grading of gastric intestinal metaplasia (EGGIM): a multicenter validation study

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• Recent advancement in endoscopic diagnosis for risk stratification of gastric cancer. [europepmc]
• A fully annotated pathology slide dataset for early gastric cancer and precancerous lesions. [europepmc]
• AI-powered three-category Helicobacter pylori diagnosis via magnetic controlled capsule endoscopy: a multicenter validation of a vision-language model. [europepmc]
• Identifying gastric intestinal metaplasia risk based on clinical indicators: a machine learning predictive model based on the SHAP methodology. [europepmc]
• Role of artificial intelligence in the detection and characterization of gastrointestinal premalignant and early malignant lesions. [europepmc]
• Dyspepsia following Helicobacter pylori eradication: Shifts in etiology and clinical challenges. [europepmc]
• Dissecting the differentiation origins of intestinal metaplasia and early intestinal-type gastric cancer in gastric antrum by single-cell RNA profiling. [europepmc]
• Gastric intestinal metaplasia: Management and surveillance strategies. [europepmc]