Usefulness of artificial intelligence in early gastric cancer

Table 2 Endpoints of the extracted studies

Ref.	Main outcome
[45,53,54,69]	Accuracy rate of diagnosing the depth of wall invasion of gastric cancer
[64]	Detection rate of gastric cancer
[63]	Identification rate of cancerous lesions, reddened lesions and surrounding tissue
[48,62,65]	Detection rate of early gastric cancer and its margins
[14]	Identification rate of gastric cancer and gastric ulcer
[50]	Identification rate of advanced gastric cancer, early gastric cancer, high grade dysplasia, low grade dysplasia and non-neoplasm
[46,51,55,57,59,60,66,68]	Detection rate of early gastric cancer
[56]	Detection rate of early gastric cancer and its localization. Accuracy rate of diagnosing the depth of wall invasion of gastric cancer
[58]	Identification rate of early gastric cancer, advanced gastric cancer and benign gastric ulcer
[67]	Identification rate of early gastric cancer and gastritis
[52]	Identification rate of early gastric cancer and number of blind spots
[61]	Identification rate of early gastric cancer and other gastric lesions (high grade dysplasia, peptic ulcer, advanced gastric cancer, gastric submucosal tumors and normal gastric mucosa)
[47]	Identification rate of early gastric cancer, advanced gastric cancer and benign gastric ulcer. Accuracy rate of diagnosing the depth of wall invasion of gastric cancer
[49]	Detection rate of early gastric cancer. Accuracy rate of diagnosing the depth of wall invasion of gastric cancer