Deep learning-based localization and lesion detection in capsule endoscopy for patients with suspected small-bowel bleeding

doi:10.3748/wjg.v31.i27.106819

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World Journal of Gastroenterology

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1007-9327

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastroenterol. Jul 21, 2025; 31(27): 106819
Published online Jul 21, 2025. doi: 10.3748/wjg.v31.i27.106819

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	P value
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)	0.746
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)	0.719
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)	0.071

AI: Artificial intelligence; PPV: Positive predictive value; NPV: Negative predictive value.

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