©The Author(s) 2022.
Artif Intell Cancer. Apr 28, 2022; 3(2): 17-26
Published online Apr 28, 2022. doi: 10.35713/aic.v3.i2.17
Published online Apr 28, 2022. doi: 10.35713/aic.v3.i2.17
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 |
- Citation: Panarese A. Usefulness of artificial intelligence in early gastric cancer. Artif Intell Cancer 2022; 3(2): 17-26
- URL: https://www.wjgnet.com/2644-3228/full/v3/i2/17.htm
- DOI: https://dx.doi.org/10.35713/aic.v3.i2.17