Long-term impact of artificial intelligence on colorectal adenoma detection in high-risk colonoscopy

Table 2 Colorectal cancer screening metrics before and after the implementation of artificial intelligence, n (%)

	Pre-AI (n = 278) (A)	Post-AI early (n = 255) (B)	Post-AI established (n = 285) (C)	Post-AI late (n = 190) (D)	P value(A vs B)	P value(A vs C)	P value(A vs D)
Bowel preparation quality
Excellent	111 (39.9)	106 (41.6)	95 (33.3)	63 (33.2)	0.70	0.10	0.14
Good	124 (44.6)	108 (42.4)	121 (42.5)	76 (40.0)	0.60	0.61	0.32
Fair	40 (14.4)	36 (14.1)	61 (21.4)	43 (22.6)	0.93	0.03	0.02
Unspecified	3 (1.1)	5 (2.0)	8 (2.8)	8 (4.2)	0.40	0.32	0.03
Total number of polyps detected (polyps per colonoscopy)	364 (1.3)	419 (1.6)	373 (1.3)	235 (1.2)
Total number of adenomas detected (adenomas per colonoscopy)	211 (0.8)	253 (1.0)	227 (0.8)	138 (0.7)
Polyp size
< 5 mm	236 (64.8)	277 (66.1)	277 (74.3)	161 (68.5)	0.71	0.005	0.35
5 mm-10 mm	66 (18.1)	91 (21.7)	50 (13.4)	43 (18.3)	0.21	0.08	0.96
> 10 mm	59 (16.2)	51 (12.2)	41 (11.0)	30 (12.8)	0.10	0.04	0.25
Unspecified	3 (0.8)	0 (0.0)	5 (1.3)	1 (0.4)	0.06	0.50	0.56
Polyp detection rate	166/278 (59.7)	152/255 (59.6)	161/285 (56.5)	116/190 (61.1)	0.98	0.44	0.77
Adenoma detection rate	106/278 (38.1)	107/255 (42.0)	114/285 (40.0)	75/190 (39.5)	0.37	0.65	0.77
Advanced adenoma1 detection rate	45/278 (16.2)	44/255 (17.3)	43/285 (15.1)	33/190 (17.4)	0.74	0.72	0.74
Non-neoplastic polyp2 detection rate	83/278 (30.0)	89/255 (34.9)	77/285 (27.0)	58/190 (30.5)	0.21	0.46	0.88

¹Advanced adenomas were defined as size ≥ 10 mm, presence of villous or tubulovillous features, presence of high-grade dysplasia, or ≥ adenomas.

²Non-neoplastic polyps included hyperplastic polyps, lymphoid aggregates, and colonic mucosa.

AI: Artificial intelligence.