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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Jul 21, 2025 (publication date) through Jul 28, 2025

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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 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

AI: Artificial intelligence.

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