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©The Author(s) 2025.
Artif Intell Gastroenterol. Jun 8, 2025; 6(1): 106149
Published online Jun 8, 2025. doi: 10.35712/aig.v6.i1.106149
Published online Jun 8, 2025. doi: 10.35712/aig.v6.i1.106149
Table 4 Subgroup analysis of factors affecting adenoma detection rate in artificial intelligence colonoscopy
Ref. | ADR based on endoscopist | Indication for colonoscopy | ||
Baseline ADR < 25% | Baseline ADR ≥ 40% | Screening | Surveillance | |
Soleymanjahi et al[25] | RR: 1.39, 95%CI: 1.18-1.63. Similar improvements in ADR, but data were less stratified | RR: 1.14, 95%CI: 1.08-1.21. (> 1000 colonoscopies): ADR improved by 19%. (RR: 1.19, 95%CI: 1.11–1.27, P < 0.001, I2 = 24.51%) | Significant improvement. RR: 1.21, 95%CI: 1.15-1.28, I2 = 76% | Less improvement. RR: 1.14, 95%CI: 1.05-1.24, I2 = 65% |
Makar et al[17] | Improvement. RR: 1.23, 95%CI: 1.16–1.32, I2 = 0%, P < 0.001 | Improvement. RR: 1.24, 95%CI: 1.15–1.34, I2 = 45%, P < 0.001 | Improvement. RR: 1.13, 95%CI: 1.07–1.19, I2 = 15%, P < 0.001 | Improvement. RR: 1.33, 95%CI: 1.23–1.45, I2 = 42%, P < 0.001 |
Lee et al[15] | No significant improvement. RR: 1.01, 95%CI: 0.84–1.20 | 16% increase in ADR compared to standard colonoscopy, but the result was not statistically significant. RR for ADR: 1.16, 95%CI: 0.83–1.62, I2 = 77% | 5% increase in ADR but the result was not statistically significant. RR for ADR: 1.05, 95%CI: 0.92–1.19, I2 = 62% | |
Lou et al[18] | Significant improvement. RR: 1.42, 95%CI: 1.28–1.58, I2 = 65% | Minimal improvement. RR: 1.12, 95%CI: 1.03–1.22, I2 = 52% | ||
Deliwala et al[40] | Significantly improved. AUC: 0.97, 95%CI: 0.96–0.98, P < 0.01 | Moderate improved. AUC: 0.90, 95%CI: 0.87–0.93, P < 0.01 |
- Citation: Aleissa MA, Luca M, Singh JP, Chitragari G, Drelichman ER, Mittal VK, Bhullar JS. Current status of artificial intelligence colonoscopy on improving adenoma detection rate based on systematic review of multiple metanalysis. Artif Intell Gastroenterol 2025; 6(1): 106149
- URL: https://www.wjgnet.com/2644-3236/full/v6/i1/106149.htm
- DOI: https://dx.doi.org/10.35712/aig.v6.i1.106149