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

doi:10.3748/wjg.v31.i40.111120

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Oct 28, 2025 (publication date) through Oct 30, 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

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 1 The performance of computer-aided diagnosis and endoscopists on polyp detection (object-based), mean ± SD, %

Group	Precision	Recall	F1-score
Experts	93.1 ± 4.2^a	92.0 ± 1.9^b	92.5 ± 1.4^a
Seniors	91.6 ± 3.1^b	93.8 ± 3.2	92.7 ± 1.4^a
Juniors	89.6 ± 4.3^b	90.7 ± 5.4	90.0 ± 1.1^a
Average	91.5 ± 3.8^a	92.2 ± 3.7	91.7 ± 1.8^a
AI	96.7	95.8	96.2

^aP < 0.01.

^bP < 0.05.

AI: Artificial intelligence.

Full Size Table

Table 2 The performance of computer-aided diagnosis and endoscopists on Yamada classification (object-based), mean ± SD, %

Group	Precision	Recall	F1-score
Experts	75.9 ± 2.5^a	72.1 ± 4.7^b	72.9 ± 2.6^a
Seniors	69.0 ± 1.8^a	70.9 ± 2.6^a	68.2 ± 1.9^a
Juniors	61.7 ± 4.9^a	66.5 ± 7.6^b	61.8 ± 6.2^a
Average	68.9 ± 6.8^a	69.8 ± 5.5^a	67.6 ± 6.0^a
AI	82.3	78.5	80.2

^aP < 0.01.

^bP < 0.05.

AI: Artificial intelligence.

Full Size Table

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

Group	Precision	Recall	F1-score
Experts	74.4 ± 6.3^b	65.1 ± 10.7^b	68.9 ± 5.7^a
Seniors	72.2 ± 7.8^b	64.5 ± 7.4^a	67.7 ± 4.3^a
Juniors	62.1 ± 3.1^a	59.5 ± 5.0^a	60.6 ± 1.4^a
Average	69.5 ± 7.8^a	63.0 ± 7.7^a	65.7 ± 5.4^a
AI	84.0	79.3	81.6

^aP < 0.01.

^bP < 0.05.

AI: Artificial intelligence.

Full Size Table

Table 4 The performance of computer-aided diagnosis and endoscopists on Yamada class II (object-based), mean ± SD, %

Group	Precision	Recall	F1-score
Experts	78.2 ± 9.4	80.0 ± 10.5	78.2 ± 3.4^a
Seniors	75.9 ± 4.4^b	74.3 ± 8.2^b	74.9 ± 4.3^a
Juniors	75.3 ± 6.3	57.8 ± 14.1^a	64.7 ± 9.9^a
Average	76.5 ± 6.5^a	70.7 ± 14.1^a	72.6 ± 8.4^a
AI	82.1	87.9	84.9

^aP < 0.01.

^bP < 0.05.

AI: Artificial intelligence.

Full Size Table

Table 5 The performance of computer-aided diagnosis and endoscopists on Yamada class III (object-based), mean ± SD, %

Group	Precision	Recall	F1-score
Experts	62.3 ± 6.4^a	72.3 ± 12.6	66.3 ± 5.7
Seniors	52.1 ± 12.1^a	70.9 ± 16.8	58.0 ± 4.9^a
Juniors	37.4 ± 8.9^a	72.7 ± 15.2	49.0 ± 10.4^a
Average	50.6 ± 13.7^a	72.0 ± 13.6^b	57.8 ± 9.9^a
AI	76.1	63.6	69.3

^aP < 0.01.

^bP < 0.05.

AI: Artificial intelligence.

Full Size Table

Table 6 The performance of computer-aided diagnosis and endoscopists on Yamada class IV (object-based), mean ± SD, %

Group	Precision	Recall	F1-score
Experts	88.7 ± 8.8	70.8 ± 6.0^a	78.3 ± 1.9^a
Seniors	75.6 ± 16.3	73.8 ± 18.1	72.2 ± 5.5^a
Juniors	72.0 ± 16.5	76.2 ± 9.3	72.6 ± 4.8^a
Average	78.8 ± 15.0	73.6 ± 11.3^a	74.4 ± 4.9^a
AI	87.1	83.3	85.2

^aP < 0.01.

AI: Artificial intelligence.

Full Size Table

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 [DOI: 10.3748/wjg.v31.i40.111120]

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