Copyright
©The Author(s) 2021.
Artif Intell Gastrointest Endosc. Dec 28, 2021; 2(6): 211-219
Published online Dec 28, 2021. doi: 10.37126/aige.v2.i6.211
Published online Dec 28, 2021. doi: 10.37126/aige.v2.i6.211
Table 1 Five randomized control trials utilizing independent computer aided detection systems
Ref. | Study design | Blinded? | Type of system | ADR control | ADR CADe | False alarms (per colonoscopy) | Missed polyps |
Wang et al[12], 2019 | RCT | No | CADe | 0.2 | 0.29 (P < 0.001) | 0.075 | 0 |
Repici et al[13], 2020 | RCT | No | CADe | 0.404 | 0.548 (P < 0.001) | - | - |
Liu et al[14], 2020 | RCT | No | CADe | 0.23 | 039 (P < 0.001) | 0.071 | 0 |
Wang et al[2], 2020 | RCT | Yes | CADe | 0.28 | 0.34 (P = 0.03) | 0.1 | 0 |
Su et al[15], 2020 | RCT | No | CADe + Quality | 0.165 | 0.289 (P < 0.001) | 0.2 | 0 |
- Citation: Dougherty KE, Melkonian VJ, Montenegro GA. Artificial intelligence in polyp detection - where are we and where are we headed? Artif Intell Gastrointest Endosc 2021; 2(6): 211-219
- URL: https://www.wjgnet.com/2689-7164/full/v2/i6/211.htm
- DOI: https://dx.doi.org/10.37126/aige.v2.i6.211