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©The Author(s) 2020.
World J Gastroenterol. Sep 14, 2020; 26(34): 5090-5100
Published online Sep 14, 2020. doi: 10.3748/wjg.v26.i34.5090
Published online Sep 14, 2020. doi: 10.3748/wjg.v26.i34.5090
Table 2 Performance of artificial intelligence in the detection and classification of colorectal polyps
Ref. | Patients, n | Samples, n | Sensitivity, % | Specificity, % | Accuracy, % | NPV, % | PPV, % |
Mori et al[13] | 152 | 176 | 92.0 | 79.5 | 89.2 | - | |
Misawa et al[14] | - | 100 | 84.5 | 97.6 | 90.0 | 82.0 | 98.0 |
Kominami et al[15] | 41 | 118 | 95.9 | 93.3 | 94.9 | 93.3 | 95.9 |
Mori et al[16] | 123 | 205 | 89.0 | 88.0 | 89.0 | 76.0 | 95.0 |
Misawa et al[17] | 58 | 64 | 94.3 | 71.4 | 87.8 | 83.3 | 89.2 |
Chen et al[18] | 193 | 284 | 96.3 | 78.1 | 90.1 | 91.5 | 89.6 |
Misawa et al[19] | 73 | 155 | 90.0 | 63.3 | 76.5 | - | - |
Shin et al[20] | - | 366 | 95.9 | 95.9 | 95.9 | - | 96.4 |
Wang et al[21] | 1138 | 27113 | 94.4 | 95.9 | - | - | - |
Kudo et al[22] | 89 | 100 | 96.9 (stained) | 100.0 | 98.0 | 94.6 | 100.0 |
96.9 (NBI) | 94.3 | 96.0 | 94.3 | 96.9 | |||
Min et al[23] | 91 | 181 | 83.3 | 70.1 | 78.4 | 71.2 | 82.6 |
Sánchez-Montes et al[24] | - | 225 | 92.3 | 89.2 | 91.1 | 87.1 | 93.6 |
Horiuchi et al[25] | 77 | 258 | 80.0 | 95.3 | 91.5 | 93.4 | 85.2 |
Byrne et al[26] | - | 106 | 98.0 | 83.0 | 94.0 | 97.0 | 90.0 |
- Citation: Wang KW, Dong M. Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects. World J Gastroenterol 2020; 26(34): 5090-5100
- URL: https://www.wjgnet.com/1007-9327/full/v26/i34/5090.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i34.5090