Artificial intelligence for reducing missed detection of adenomas and polyps in colonoscopy: A systematic review and meta-analysis

Table 1 Study characteristics, n (%)

Ref.	Year	Sample size	Age (mean years)		Gender (male)		Country	AI system	Endoscopists	Indication			Bowel preparation scale
			CADe	Routine	CADe	Routine				CADe		Routine	CADe	Routine
Wang et al[19]	2020	369	47.72 ± 10.82	47.19 ± 10.38	93 (50.54)	86 (46.69)	China	CADe (EndoScreener)	Three experienced endoscopists	Screening: 58; ymptomatic: 107; Surveillance: 19	Screening: 55; Symptomatic: 117; Surveillance: 13		7.11 ± 1.40	7.19 ± 1.42
Kamba et al[10]	2021	355	61.63 ± 9.89	61.44 ± 10.01	136 (76.40)	136 (76.80)	Japan	CADe (Locally system)	Experts (> 5000 colonscopies) and non-experts (< 5000)	Screening: 88; Surveillance: 59; Other (FOBT positive): 31	Screening: 78; Surveillance: 68; Other (FOBT positive): 31		1-3: 166; 4-5: 5	1-3: 169; 4-5: 4
Glissen Brown et al[21]	2022	223	61.18 ± 9.83	60.51 ± 8.45	54 (47.79)	68 (61.82)	United States	CADe (EndoScreener)	_	Screening: 68; Surveillance: 45	Screening: 65; Surveillance: 45		9.00 (8.00-9.00)	9.00 (8.00-9.00)
Wallace et al[22]	2022	230	63.00 ± 8.20	64.60 ± 8.10	80 (68.97)	77 (67.54)	Italy, United Kingdom, and United States	CADe (GI-Genius)	Endoscopists (> 1000 colonscopies)	Screening: 41; Surveillance: 75	Screening: 41; Surveillance: 73		8.03 ± 1.27	8.08 ± 1.46
Yao et al[23]	2024	456	50.63 ± 12.25	49.85 ± 11.68	117 (51.54)	123 (53.70)	China	CADe + CAQ (EndoAngel)	8 novice endoscopists (< 5000 colonscopies) and 10 expert endoscopists (> 5000)	Screening: 145; Symptomatic: 60; Surveillance: 22	Screening: 146; Symptomatic: 64; Surveillance: 19		Inadequate (< 6): 31; Adequate (> 6): 196	Inadequate (< 6): 27; Adequate (> 6): 202

CADe: Computer-aided detection; CAQ: Computer-aided quality improvement; FOBT: Fecal occult blood test.