Copyright
©The Author(s) 2020.
World J Gastroenterol. Dec 21, 2020; 26(47): 7436-7443
Published online Dec 21, 2020. doi: 10.3748/wjg.v26.i47.7436
Published online Dec 21, 2020. doi: 10.3748/wjg.v26.i47.7436
Table 1 Current standalone performance of approved and not approved computer aided diagnosis systems
| Regulatory approved | Company | Sensitivity (%) | False positives/specificity (%) |
| GI-Genius[23] | Medtronic | 99.70 | 0.9 (FP) |
| Discovery AI | Pentax | 90 | 80 (spec) |
| CAD-EYE detection1 | Fujifilm | 92.90 | 90.6 (spec) |
| CAD-EYE characterization1 | Fujifilm | 85 | 79.4 (spec) |
| Endobrain-EYE[27] | Cybernet | 95 | 89 (spec) |
| Not regulatory approved | |||
| Yamada et al[26] | NEC | 97.30 | 99 (spec) |
| Wang et al[20] | Wision AI | 94 | 96 (spec) |
- Citation: Antonelli G, Gkolfakis P, Tziatzios G, Papanikolaou IS, Triantafyllou K, Hassan C. Artificial intelligence-aided colonoscopy: Recent developments and future perspectives. World J Gastroenterol 2020; 26(47): 7436-7443
- URL: https://www.wjgnet.com/1007-9327/full/v26/i47/7436.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i47.7436