Artificial intelligence has the potential to be applied during colonoscopy to automatically detect colorectal polyps and differentiate between cancerous and non-cancerous polyps, with the potential to improve the detection rate of adenomas, which varies widely among endoscopists when performing colonoscopy. Currently, there are many H. pylori testing methods applied in clinical and research settings. Depending on whether the method requires a gastroduodenoscopy or not, it is divided into two groups: invasive methods and non-invasive methods.