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©The Author(s) 2025.
World J Gastroenterol. Jul 21, 2025; 31(27): 106819
Published online Jul 21, 2025. doi: 10.3748/wjg.v31.i27.106819
Published online Jul 21, 2025. doi: 10.3748/wjg.v31.i27.106819
Table 1 Diagnostic performance of artificial intelligence model for localization and lesion detection methods on the test dataset
Diagnostic performance (%) (95%CI) | ||||||
Accuracy | Sensitivity | Specificity | PPV | NPV | AUC | |
Localization | ||||||
Stomach | 99.4 (99.4-99.4) | 98.7 (98.6-98.7) | 99.6 (99.6-99.6) | 98.6 (98.6-98.6) | 99.6 (99.6-99.7) | 100 (100.0-100.0) |
Small-bowel | 97.4 (97.4-97.4) | 96.1 (96.1-96.1) | 97.9 (97.9-97.9) | 94.7 (94.7-94.7) | 98.5 (98.5-98.5) | 99.5 (99.5-99.5) |
Colon | 97.5 (97.4-97.5) | 97.1 (97.1-97.1) | 97.8 (97.8-97.8) | 97.9 (97.9-97.9) | 97.0 (97.0-97.0) | 99.6 (99.6-99.6) |
Detection of small-bowel abnormalities | ||||||
Normal | 99.3 (99.3-99.3) | 99.5 (99.5-99.5) | 95.3 (95.2-95.5) | 99.8 (99.8-99.8) | 86.4 (86.5-86.9) | 99.1 (99.0-99.1) |
Abnormal | ||||||
Erosions/ulcers | 99.4 (99.4-99.4) | 90.1 (89.8-90.2) | 99.7 (99.7-99.7) | 89.1 (88.8-89.3) | 99.7 (99.7-99.7) | 98.9 (98.8-98.9) |
Angiodysplasia | 99.8 (99.8-99.8) | 100 (100.0-100.0) | 99.8 (99.8-99.8) | 58.8 (64.0-65.3) | 100 (100.0-100.0) | 99.7 (99.7-99.7) |
Bleeding | 99.9 (99.9-99.9) | 100 (100.0-100.0) | 99.9 (99.9-99.9) | 66.7 (71.9-73.6) | 100 (100.0-100.0) | 99.9 (99.9-99.9) |
Table 2 Comparison of small-bowel capsule endoscopy reading performance of conventional reading and artificial intelligence-assisted reading, n (%)/mean ± SD
Conventional reading (n = 32) | AI-assisted reading (n = 32) | P value | |
Reading time | 57.19 ± 20.30 | 9.03 ± 4.25 | < 0.001 |
Small-bowel localization | |||
First small-bowel localization | 31 (96.9) | 28 (87.5) | 0.18 |
First colon localization | 26 (81.2) | 20 (62.5) | 0.08 |
Detection of small-bowel abnormalities | |||
Detection score | 0.73 ± 0.40 | 0.75 ± 0.42 | 0.88 |
Table 3 Comparison of diagnostic performance for small-bowel abnormality detection between conventional and artificial intelligence-assisted reading
Diagnostic performance (%) (95%CI) | P value | |||||
Accuracy | Sensitivity | Specificity | PPV | NPV | ||
Erosions/ulcers | ||||||
Conventional reading | 81 (80.5-81.3) | 64 (63.4-64.8) | 100 (100-100) | 100 (100-100) | 71 (70.4-71.6) | 0.746 |
AI-assisted reading | 84 (84.1-84.9) | 71 (70.0-71.4) | 100 (100-100) | 100 (100-100) | 75 (74.7-75.9) | |
Angiodysplasia | ||||||
Conventional reading | 87 (87.0-87.7) | 56 (54.5-56.6) | 100 (100-100) | 100 (99.1-99.9) | 85 (84.5-85.4) | 0.719 |
AI-assisted reading | 91 (90.3-90.9) | 67 (65.1-67.0) | 100 (100-100) | 100 (99.5-100) | 88 (88.0-88.8) | |
Bleeding | ||||||
Conventional reading | 94 (93.6-94.2) | 67 (65.8-68.4) | 100 (100-100) | 98 (97.6-99.2) | 93 (92.7-93.3) | 0.071 |
AI-assisted reading | 84 (83.8-84.6) | 67 (65.6-68.2) | 88 (87.9-88.6) | 57 (55.8-58.2) | 92 (91.7-92.4) |
- Citation: Kwon YS, Park TY, Kim SE, Park Y, Lee JG, Lee SP, Kim KO, Jang HJ, Yang YJ, Cho BJ. Deep learning-based localization and lesion detection in capsule endoscopy for patients with suspected small-bowel bleeding. World J Gastroenterol 2025; 31(27): 106819
- URL: https://www.wjgnet.com/1007-9327/full/v31/i27/106819.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i27.106819