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
Figure 1
Figure 1 Endoscopic images of a tubular adenoma in blue light imaging. A: Artificial intelligence for ColoRectal Polyps (AI4CRP’s) neoplastic prediction [indicated by the red assist bar and characterization value of > 0.6 (0.9966)]; B: The corresponding heatmap (pointing out the area of interest of the AI4CRP prediction); C: CAD EYE’s predicted characterization [indicated by a complete (grey) status bar, a yellow visual assist circle, yellow position map, and ‘neoplastic’ description].
Figure 2
Figure 2 Study flow chart of patient enrolment and colorectal polyp inclusion. BBPS: Boston bowel preparation scale.

  • 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
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