Bridging the gap: Computer-aided detection and Yamada classification system matches expert performance

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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

Retrospective Cohort Study

World J Gastroenterol. Oct 28, 2025; 31(40): 111120
Published online Oct 28, 2025. doi: 10.3748/wjg.v31.i40.111120

Table 3 The performance of computer-aided diagnosis and endoscopists on Yamada class I (object-based), mean ± SD, %

^aP < 0.01.

^bP < 0.05.

AI: Artificial intelligence.

Citation: Qiu L, Ding J, Lai CX, Yang H, Li F, Li ZJ, Wu W, Liu GM, Guan QS, Zhang XG, Zhang RY, Yi LZ, Zhao ZF, Deng L, Lun WJ, Wang ZY, Lu WM, Qiao WG, Wang SL, Chen SM, Shen WQ, Cheng LM, Zhu BG, He SH, Dai J, Bai Y. Bridging the gap: Computer-aided detection and Yamada classification system matches expert performance. World J Gastroenterol 2025; 31(40): 111120
URL: https://www.wjgnet.com/1007-9327/full/v31/i40/111120.htm
DOI: https://dx.doi.org/10.3748/wjg.v31.i40.111120

Qiu L, Ding J, Lai CX, Yang H, Li F, Li ZJ, Wu W, Liu GM, Guan QS, Zhang XG, Zhang RY, Yi LZ, Zhao ZF, Deng L, Lun WJ, Wang ZY, Lu WM, Qiao WG, Wang SL, Chen SM, Shen WQ, Cheng LM, Zhu BG, He SH, Dai J, Bai Y. Bridging the gap: Computer-aided detection and Yamada classification system matches expert performance. World J Gastroenterol 2025; 31(40): 111120 [PMID: 41180983 DOI: 10.3748/wjg.v31.i40.111120]

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