©The Author(s) 2025.
Artif Intell Gastroenterol. Nov 8, 2025; 6(3): 107528
Published online Nov 8, 2025. doi: 10.35712/aig.v6.i3.107528
Published online Nov 8, 2025. doi: 10.35712/aig.v6.i3.107528
Table 2 Basic characteristics of patients based on the size, location, and morphology of polyps
| Variable | Total (n = 100) |
| Polyp size | |
| 1-5 mm | 56 (56) |
| 6-9 mm | 11 (11) |
| ≥ 10 mm | 33 (33) |
| Polyp location | |
| Rectosigmoid polyp | 51 (51) |
| Descending colon polyp | 17 |
| Transverse colon polyp | 8 (8) |
| Ascending colon polyp | 19 (19) |
| Cecum polyp | 5 |
| Morfologi polyp | |
| Sessile polyp | 75 |
| Semipedunculated polyp | 9 (9) |
| Pedunculated polyp | 16 (16) |
| Flat polyp | 0 (0) |
| Other polyp | 0 (0) |
- Citation: Asputra H, Maulahela H, Fauzi A, Rumende CM, Pitarini A, Sari NK, Shatri H. Diagnostic value of artificial intelligence computer-assisted diagnosis (computer assisted-diagnosis eye function) for colorectal polyps. Artif Intell Gastroenterol 2025; 6(3): 107528
- URL: https://www.wjgnet.com/2644-3236/full/v6/i3/107528.htm
- DOI: https://dx.doi.org/10.35712/aig.v6.i3.107528