Prospective Study
Copyright ©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
Table 1 Baseline characteristics of patients, n (%)

Patients, n = 30
Gender, female13 (43.3)
Age in years, mean (SD) [range]65.8 (8.4) [50-78]
Indication colonoscopy
Bowel cancer screening program15 (50.0)
Surveillance10 (33.3)
Symptoms 5 (16.7)
Family history positive for CRC5 (16.7)
BBPS, mean (SD)6.6 (1.4)
Number of colorectal polyps per patient1
1 colorectal polyp15 (50.0)
2 colorectal polyps9 (30.0)
3 colorectal polyps6 (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