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©The Author(s) 2024.
Artif Intell Gastrointest Endosc. Mar 8, 2024; 5(1): 90574
Published online Mar 8, 2024. doi: 10.37126/aige.v5.i1.90574
Published online Mar 8, 2024. doi: 10.37126/aige.v5.i1.90574
Patients, n = 30 | ||
Gender, female | 13 (43.3) | |
Age in years, mean (SD) [range] | 65.8 (8.4) [50-78] | |
Indication colonoscopy | ||
Bowel cancer screening program | 15 (50.0) | |
Surveillance | 10 (33.3) | |
Symptoms | 5 (16.7) | |
Family history positive for CRC | 5 (16.7) | |
BBPS, mean (SD) | 6.6 (1.4) | |
Number of colorectal polyps per patient1 | ||
1 colorectal polyp | 15 (50.0) | |
2 colorectal polyps | 9 (30.0) | |
3 colorectal polyps | 6 (20.0) |
- Citation: van der Zander QEW, Schreuder RM, Thijssen A, Kusters CHJ, Dehghani N, Scheeve T, Winkens B, van der Ende - van Loon MCM, de With PHN, van der Sommen F, Masclee AAM, Schoon EJ. Artificial intelligence for characterization of diminutive colorectal polyps: A feasibility study comparing two computer-aided diagnosis systems. Artif Intell Gastrointest Endosc 2024; 5(1): 90574
- URL: https://www.wjgnet.com/2689-7164/full/v5/i1/90574.htm
- DOI: https://dx.doi.org/10.37126/aige.v5.i1.90574