Effect of computer‐aided colonoscopy on adenoma miss rates and polyp detection: A systematic review and meta‐analysis

Background and Aim Multiple computer‐aided techniques utilizing artificial intelligence (AI) have been created to improve the detection of polyps during colonoscopy and thereby reduce the incidence of colorectal cancer. While adenoma detection rates (ADR) and polyp detection rates (PDR) are importan...

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Published in:	Journal of gastroenterology and hepatology Vol. 38; no. 2; pp. 162 - 176
Main Authors:	Shah, Sagar, Park, Nathan, Chehade, Nabil El Hage, Chahine, Anastasia, Monachese, Marc, Tiritilli, Amelie, Moosvi, Zain, Ortizo, Ronald, Samarasena, Jason
Format:	Journal Article
Language:	English
Published:	Australia Wiley Subscription Services, Inc 01.02.2023
Subjects:	Adenoma Adenoma - diagnosis adenoma detection rate adenoma miss rate Artificial Intelligence Clinical trials Colonic Polyps - pathology Colonoscopy Colonoscopy - methods Colorectal cancer Colorectal carcinoma Colorectal Neoplasms - pathology Computers computer‐aided colonoscopy computer‐aided detection Humans Lesions Meta-analysis Physical characteristics polyp detection rate Polyps Systematic review Tumors adenoma detection rate polyp detection rate colorectal cancer adenoma miss rate computer-aided colonoscopy computer-aided detection artificial intelligence
ISSN:	0815-9319, 1440-1746, 1440-1746
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Abstract	Background and Aim Multiple computer‐aided techniques utilizing artificial intelligence (AI) have been created to improve the detection of polyps during colonoscopy and thereby reduce the incidence of colorectal cancer. While adenoma detection rates (ADR) and polyp detection rates (PDR) are important colonoscopy quality indicators, adenoma miss rates (AMR) may better quantify missed lesions, which can ultimately lead to interval colorectal cancer. The purpose of this systematic review and meta‐analysis was to determine the efficacy of computer‐aided colonoscopy (CAC) with respect to AMR, ADR, and PDR in randomized controlled trials. Methods A comprehensive, systematic literature search was performed across multiple databases in September of 2022 to identify randomized, controlled trials that compared CAC with traditional colonoscopy. Primary outcomes were AMR, ADR, and PDR. Results Fourteen studies totaling 10 928 patients were included in the final analysis. There was a 65% reduction in the adenoma miss rate with CAC (OR, 0.35; 95% CI, 0.25–0.49, P < 0.001, I2 = 50%). There was a 78% reduction in the sessile serrated lesion miss rate with CAC (OR, 0.22; 95% CI, 0.08–0.65, P < 0.01, I2 = 0%). There was a 52% increase in ADR in the CAC group compared with the control group (OR, 1.52; 95% CI, 1.39–1.67, P = 0.04, I2 = 47%). There was 93% increase in the number of adenomas > 10 mm detected per colonoscopy with CAC (OR 1.93; 95% CI, 1.18–3.16, P < 0.01, I2 = 0%). Conclusions The results of the present study demonstrate the promise of CAC in improving AMR, ADR, PDR across a spectrum of size and morphological lesion characteristics.
AbstractList	Multiple computer-aided techniques utilizing artificial intelligence (AI) have been created to improve the detection of polyps during colonoscopy and thereby reduce the incidence of colorectal cancer. While adenoma detection rates (ADR) and polyp detection rates (PDR) are important colonoscopy quality indicators, adenoma miss rates (AMR) may better quantify missed lesions, which can ultimately lead to interval colorectal cancer. The purpose of this systematic review and meta-analysis was to determine the efficacy of computer-aided colonoscopy (CAC) with respect to AMR, ADR, and PDR in randomized controlled trials.BACKGROUND AND AIMMultiple computer-aided techniques utilizing artificial intelligence (AI) have been created to improve the detection of polyps during colonoscopy and thereby reduce the incidence of colorectal cancer. While adenoma detection rates (ADR) and polyp detection rates (PDR) are important colonoscopy quality indicators, adenoma miss rates (AMR) may better quantify missed lesions, which can ultimately lead to interval colorectal cancer. The purpose of this systematic review and meta-analysis was to determine the efficacy of computer-aided colonoscopy (CAC) with respect to AMR, ADR, and PDR in randomized controlled trials.A comprehensive, systematic literature search was performed across multiple databases in September of 2022 to identify randomized, controlled trials that compared CAC with traditional colonoscopy. Primary outcomes were AMR, ADR, and PDR.METHODSA comprehensive, systematic literature search was performed across multiple databases in September of 2022 to identify randomized, controlled trials that compared CAC with traditional colonoscopy. Primary outcomes were AMR, ADR, and PDR.Fourteen studies totaling 10 928 patients were included in the final analysis. There was a 65% reduction in the adenoma miss rate with CAC (OR, 0.35; 95% CI, 0.25-0.49, P < 0.001, I2 = 50%). There was a 78% reduction in the sessile serrated lesion miss rate with CAC (OR, 0.22; 95% CI, 0.08-0.65, P < 0.01, I2 = 0%). There was a 52% increase in ADR in the CAC group compared with the control group (OR, 1.52; 95% CI, 1.39-1.67, P = 0.04, I2 = 47%). There was 93% increase in the number of adenomas > 10 mm detected per colonoscopy with CAC (OR 1.93; 95% CI, 1.18-3.16, P < 0.01, I2 = 0%).RESULTSFourteen studies totaling 10 928 patients were included in the final analysis. There was a 65% reduction in the adenoma miss rate with CAC (OR, 0.35; 95% CI, 0.25-0.49, P < 0.001, I2 = 50%). There was a 78% reduction in the sessile serrated lesion miss rate with CAC (OR, 0.22; 95% CI, 0.08-0.65, P < 0.01, I2 = 0%). There was a 52% increase in ADR in the CAC group compared with the control group (OR, 1.52; 95% CI, 1.39-1.67, P = 0.04, I2 = 47%). There was 93% increase in the number of adenomas > 10 mm detected per colonoscopy with CAC (OR 1.93; 95% CI, 1.18-3.16, P < 0.01, I2 = 0%).The results of the present study demonstrate the promise of CAC in improving AMR, ADR, PDR across a spectrum of size and morphological lesion characteristics.CONCLUSIONSThe results of the present study demonstrate the promise of CAC in improving AMR, ADR, PDR across a spectrum of size and morphological lesion characteristics. Multiple computer-aided techniques utilizing artificial intelligence (AI) have been created to improve the detection of polyps during colonoscopy and thereby reduce the incidence of colorectal cancer. While adenoma detection rates (ADR) and polyp detection rates (PDR) are important colonoscopy quality indicators, adenoma miss rates (AMR) may better quantify missed lesions, which can ultimately lead to interval colorectal cancer. The purpose of this systematic review and meta-analysis was to determine the efficacy of computer-aided colonoscopy (CAC) with respect to AMR, ADR, and PDR in randomized controlled trials. A comprehensive, systematic literature search was performed across multiple databases in September of 2022 to identify randomized, controlled trials that compared CAC with traditional colonoscopy. Primary outcomes were AMR, ADR, and PDR. Fourteen studies totaling 10 928 patients were included in the final analysis. There was a 65% reduction in the adenoma miss rate with CAC (OR, 0.35; 95% CI, 0.25-0.49, P < 0.001, I = 50%). There was a 78% reduction in the sessile serrated lesion miss rate with CAC (OR, 0.22; 95% CI, 0.08-0.65, P < 0.01, I = 0%). There was a 52% increase in ADR in the CAC group compared with the control group (OR, 1.52; 95% CI, 1.39-1.67, P = 0.04, I = 47%). There was 93% increase in the number of adenomas > 10 mm detected per colonoscopy with CAC (OR 1.93; 95% CI, 1.18-3.16, P < 0.01, I = 0%). The results of the present study demonstrate the promise of CAC in improving AMR, ADR, PDR across a spectrum of size and morphological lesion characteristics. Background and Aim Multiple computer‐aided techniques utilizing artificial intelligence (AI) have been created to improve the detection of polyps during colonoscopy and thereby reduce the incidence of colorectal cancer. While adenoma detection rates (ADR) and polyp detection rates (PDR) are important colonoscopy quality indicators, adenoma miss rates (AMR) may better quantify missed lesions, which can ultimately lead to interval colorectal cancer. The purpose of this systematic review and meta‐analysis was to determine the efficacy of computer‐aided colonoscopy (CAC) with respect to AMR, ADR, and PDR in randomized controlled trials. Methods A comprehensive, systematic literature search was performed across multiple databases in September of 2022 to identify randomized, controlled trials that compared CAC with traditional colonoscopy. Primary outcomes were AMR, ADR, and PDR. Results Fourteen studies totaling 10 928 patients were included in the final analysis. There was a 65% reduction in the adenoma miss rate with CAC (OR, 0.35; 95% CI, 0.25–0.49, P < 0.001, I2 = 50%). There was a 78% reduction in the sessile serrated lesion miss rate with CAC (OR, 0.22; 95% CI, 0.08–0.65, P < 0.01, I2 = 0%). There was a 52% increase in ADR in the CAC group compared with the control group (OR, 1.52; 95% CI, 1.39–1.67, P = 0.04, I2 = 47%). There was 93% increase in the number of adenomas > 10 mm detected per colonoscopy with CAC (OR 1.93; 95% CI, 1.18–3.16, P < 0.01, I2 = 0%). Conclusions The results of the present study demonstrate the promise of CAC in improving AMR, ADR, PDR across a spectrum of size and morphological lesion characteristics. Background and AimMultiple computer‐aided techniques utilizing artificial intelligence (AI) have been created to improve the detection of polyps during colonoscopy and thereby reduce the incidence of colorectal cancer. While adenoma detection rates (ADR) and polyp detection rates (PDR) are important colonoscopy quality indicators, adenoma miss rates (AMR) may better quantify missed lesions, which can ultimately lead to interval colorectal cancer. The purpose of this systematic review and meta‐analysis was to determine the efficacy of computer‐aided colonoscopy (CAC) with respect to AMR, ADR, and PDR in randomized controlled trials.MethodsA comprehensive, systematic literature search was performed across multiple databases in September of 2022 to identify randomized, controlled trials that compared CAC with traditional colonoscopy. Primary outcomes were AMR, ADR, and PDR.ResultsFourteen studies totaling 10 928 patients were included in the final analysis. There was a 65% reduction in the adenoma miss rate with CAC (OR, 0.35; 95% CI, 0.25–0.49, P < 0.001, I2 = 50%). There was a 78% reduction in the sessile serrated lesion miss rate with CAC (OR, 0.22; 95% CI, 0.08–0.65, P < 0.01, I2 = 0%). There was a 52% increase in ADR in the CAC group compared with the control group (OR, 1.52; 95% CI, 1.39–1.67, P = 0.04, I2 = 47%). There was 93% increase in the number of adenomas > 10 mm detected per colonoscopy with CAC (OR 1.93; 95% CI, 1.18–3.16, P < 0.01, I2 = 0%).ConclusionsThe results of the present study demonstrate the promise of CAC in improving AMR, ADR, PDR across a spectrum of size and morphological lesion characteristics.
Author	Moosvi, Zain Samarasena, Jason Monachese, Marc Ortizo, Ronald Chehade, Nabil El Hage Shah, Sagar Chahine, Anastasia Tiritilli, Amelie Park, Nathan
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Cites_doi	10.1136/gutjnl-2018-317500 10.1136/gutjnl-2015-310912 10.1016/j.dld.2016.06.025 10.1053/j.gastro.2020.04.062 10.1007/s00535-021-01808-w 10.1053/j.gastro.2010.06.074 10.1111/j.1572-0241.1999.00796.x 10.1038/ajg.2015.365 10.1053/j.gastro.2022.05.028 10.1016/j.gie.2019.08.026 10.1053/j.gastro.2006.08.038 10.1053/j.gastro.2019.01.260 10.1053/j.gastro.2010.07.011 10.1053/j.gastro.2022.03.007 10.1002/cam4.4261 10.1136/gut.2009.185884 10.1016/S2468-1253(19)30411-X 10.1309/V2EPTPLJRB3FGHJL 10.1136/gutjnl-2021-324471 10.7326/0003-4819-141-5-200409070-00009 10.1053/j.gastro.2020.06.023 10.3322/caac.21551 10.1016/j.cgh.2018.05.043 10.1053/j.gastro.2009.12.066 10.5217/ir.2017.15.3.411 10.1016/S0016-5085(97)70214-2 10.3390/diagnostics9030099 10.3322/caac.21492 10.1159/000366034 10.1016/S0016-5107(91)70668-8 10.1002/ijc.32055 10.3346/jkms.2016.31.9.1426 10.1016/j.gie.2020.06.059 10.1016/S2468-1253(19)30413-3 10.4103/sjg.SJG_377_19
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Keywords	adenoma detection rate polyp detection rate colorectal cancer adenoma miss rate computer-aided colonoscopy computer-aided detection artificial intelligence
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Notes	Author contribution The authors have no conflicts of interest to disclose. Sagar Shah: Conception and design, analysis and interpretation of the data, drafting of the article, critical revision of the article for important intellectual content, final approval of the article. Nathan Park: conception and design, drafting of the article, critical revision of the article for important intellectual content, final approval of the article. Nabil El Hage Chehade: conception and design, drafting of the article, critical revision of the article for important intellectual content, final approval of the article. Anastasia Chahine: critical revision of the article for important intellectual content, final approval of the article. Marc Monachese: drafting of the article, critical revision of the article for important intellectual content, final approval of the article. Amelie Tiritilli: drafting of the article, critical revision of the article for important intellectual content, final approval of the article. Ronald Ortizo: conception and design, drafting of the article, critical revision of the article for important intellectual content, final approval of the article. Zain Moosvi: conception and design, analysis and interpretation of the data, drafting of the article, critical revision of the article for important intellectual content, final approval of the article. Jason Samarasena: conception and design, analysis and interpretation of the data, drafting of the article, critical revision of the article for important intellectual content, final approval of the article. Declaration of conflict of interest All of the above authors agree to be accountable for all aspects of the work. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23 ObjectType-Undefined-3
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References	2019; 9 2010; 59 1991; 37 2022; 71 2017; 49 2017; 66 2004; 141 2015; 33 1997; 112 2016; 31 2006; 131 2021; 93 2019; 144 2018; 68 2020; 5 2021; 10 2022; 163 2021; 56 2017; 15 2021 2010; 138 2020 2005; 124 2010; 139 2019; 68 2020; 91 2019; 69 2015; 110 2020; 159 2020; 115 2020; 26 2016; 111 1999; 94 2018; 16 2019; 156 e_1_2_6_32_1 e_1_2_6_10_1 e_1_2_6_31_1 e_1_2_6_19_1 e_1_2_6_13_1 e_1_2_6_36_1 e_1_2_6_14_1 e_1_2_6_11_1 e_1_2_6_34_1 e_1_2_6_12_1 e_1_2_6_33_1 e_1_2_6_17_1 e_1_2_6_18_1 e_1_2_6_39_1 e_1_2_6_38_1 e_1_2_6_16_1 e_1_2_6_37_1 e_1_2_6_21_1 e_1_2_6_20_1 e_1_2_6_41_1 e_1_2_6_40_1 Kolb JM (e_1_2_6_35_1) 2020; 115 Brown JR (e_1_2_6_15_1) 2021 Luo Y (e_1_2_6_27_1) 2020 e_1_2_6_9_1 e_1_2_6_8_1 e_1_2_6_5_1 e_1_2_6_4_1 e_1_2_6_7_1 Aniwan S (e_1_2_6_30_1) 2016; 111 e_1_2_6_6_1 e_1_2_6_25_1 e_1_2_6_24_1 e_1_2_6_3_1 e_1_2_6_23_1 e_1_2_6_2_1 e_1_2_6_22_1 e_1_2_6_29_1 e_1_2_6_28_1 e_1_2_6_26_1 36751949 - J Gastroenterol Hepatol. 2023 Feb;38(2):157-158
References_xml	– volume: 91 start-page: 415 year: 2020 end-page: 424 article-title: Impact of a real‐time automatic quality control system on colorectal polyp and adenoma detection: a prospective randomized controlled study (with videos) publication-title: Gastrointest. Endosc. – volume: 56 start-page: 746 year: 2021 end-page: 757 article-title: Reducing adenoma miss rate of colonoscopy assisted by artificial intelligence: a multicenter randomized controlled trial publication-title: J. Gastroenterol. – volume: 163 start-page: 732 year: 2022 end-page: 741 article-title: Computer‐aided detection improves adenomas per colonoscopy for screening and surveillance colonoscopy: a randomized trial publication-title: Gastroenterology – volume: 33 start-page: 38 year: 2015 end-page: 41 article-title: Small colorectal polyps publication-title: Dig. Dis. – volume: 159 start-page: 512 year: 2020 end-page: 520 article-title: Efficacy of real‐time computer‐aided detection of colorectal neoplasia in a randomized trial publication-title: Gastroenterology – start-page: 1 year: 2020 end-page: 8 article-title: Artificial intelligence‐assisted colonoscopy for detection of colon polyps: a prospective, randomized cohort study publication-title: J. Gastrointest. Surg. – volume: 139 start-page: 1503 year: 2010 end-page: 1510 article-title: The presence of large serrated polyps increases risk for colorectal cancer publication-title: Gastroenterology – volume: 141 start-page: 352 year: 2004 end-page: 359 article-title: Location of adenomas missed by optical colonoscopy publication-title: Ann. Intern. Med. – volume: 49 start-page: 34 year: 2017 end-page: 37 article-title: Risk of cancer in small and diminutive colorectal polyps publication-title: Dig. Liver Dis. – volume: 159 start-page: 1252 year: 2020 end-page: 1261 article-title: Lower adenoma miss rate of computer‐aided detection‐assisted colonoscopy vs routine white‐light colonoscopy in a prospective tandem study publication-title: Gastroenterology – volume: 10 start-page: 7184 year: 2021 end-page: 7193 article-title: Artificial intelligence‐assisted colonoscopy: A prospective, multicenter, randomized controlled trial of polyp detection publication-title: Cancer Med. – volume: 59 start-page: 1094 year: 2010 end-page: 1100 article-title: Increased colorectal cancer risk during follow‐up in patients with hyperplastic polyposis syndrome: a multicentre cohort study publication-title: Gut – volume: 94 start-page: 194 year: 1999 end-page: 199 article-title: The colonoscopic miss rate and true one‐year recurrence of colorectal neoplastic polyps: Polyp Prevention Study Group publication-title: Am. J. Gastroenterol. – volume: 93 start-page: 77 year: 2021 end-page: 85 article-title: Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta‐analysis publication-title: Gastrointest. Endosc. – volume: 115 start-page: 980 year: 2020 end-page: 988 article-title: Increased risk of colorectal cancer tied to advanced colorectal polyps: an untapped opportunity to screen first‐degree relatives and decrease cancer burden publication-title: ACG – volume: 9 start-page: 99 year: 2019 article-title: Application of artificial intelligence in the detection and differentiation of colon polyps: a technical review for physicians publication-title: Diagnostics – volume: 112 start-page: 24 year: 1997 end-page: 28 article-title: Colonoscopic miss rates of adenomas determined by back‐to‐back colonoscopies publication-title: Gastroenterology – year: 2021 article-title: Deep Learning Computer‐aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi‐center Randomized Tandem Colonoscopy Study (CADeT‐CS Trial) publication-title: Clin. Gastroenterol. Hepatol. – volume: 163 start-page: 295 year: 2022 end-page: 304.e5 publication-title: Gastroenterology – volume: 26 start-page: 13 year: 2020 article-title: Study on detection rate of polyps and adenomas in artificial‐intelligence‐aided colonoscopy publication-title: Saudi Journal of Gastroenterology: Official Journal of the Saudi Gastroenterology Association – volume: 5 start-page: 352 year: 2020 end-page: 361 article-title: Detection of colorectal adenomas with a real‐time computer‐aided system (ENDOANGEL): a randomised controlled study publication-title: Lancet Gastroenterol. Hepatol. – volume: 69 start-page: 7 year: 2019 end-page: 34 article-title: Cancer statistics, 2019 publication-title: CA Cancer J. Clin – volume: 110 start-page: 1657 year: 2015 end-page: 1664 article-title: Interval colorectal cancer after colonoscopy: exploring explanations and solutions publication-title: Am. J. Gastroenterol. – volume: 111 start-page: 723 year: 2016 end-page: 729 article-title: The secondary quality indicator to improve prediction of adenoma miss rate apart from adenoma detection rate publication-title: ACG – volume: 131 start-page: 1400 year: 2006 end-page: 1407 article-title: High prevalence of sessile serrated adenomas with BRAF mutations: a prospective study of patients undergoing colonoscopy publication-title: Gastroenterology – volume: 68 start-page: 394 year: 2018 end-page: 424 article-title: Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries publication-title: CA Cancer J. Clin – volume: 16 start-page: 1754 year: 2018 end-page: 1761 article-title: Risk of malignancy in adenomas detected during screening colonoscopy publication-title: Clin. Gastroenterol. Hepatol. – volume: 139 start-page: 1497 year: 2010 end-page: 1502 article-title: Proximal and large hyperplastic and nondysplastic serrated polyps detected by colonoscopy are associated with neoplasia publication-title: Gastroenterology – volume: 138 start-page: 2088 year: 2010 end-page: 2100 article-title: Role of the serrated pathway in colorectal cancer pathogenesis publication-title: Gastroenterology – volume: 66 start-page: 683 year: 2017 end-page: 691 article-title: Global patterns and trends in colorectal cancer incidence and mortality publication-title: Gut – volume: 156 start-page: 1661 year: 2019 end-page: 1674 article-title: Magnitude, risk factors, and factors associated with adenoma miss rate of tandem colonoscopy: a systematic review and meta‐analysis publication-title: Gastroenterology – volume: 15 start-page: 411 year: 2017 article-title: Miss rate of colorectal neoplastic polyps and risk factors for missed polyps in consecutive colonoscopies publication-title: Intestinal research – volume: 31 start-page: 1426 year: 2016 end-page: 1430 article-title: Risk factors of advanced adenoma in small and diminutive colorectal polyp publication-title: J. Korean Med. Sci. – volume: 5 start-page: 343 year: 2020 end-page: 351 article-title: Effect of a deep‐learning computer‐aided detection system on adenoma detection during colonoscopy (CADe‐DB trial): a double‐blind randomised study publication-title: Lancet Gastroenterol. Hepatol. – volume: 124 start-page: 380 year: 2005 end-page: 391 article-title: Serrated polyps of the large intestine: a morphologic and molecular review of an evolving concept publication-title: Am. J. Clin. Pathol. – volume: 37 start-page: 125 year: 1991 end-page: 127 article-title: Prospective blinded trial of the colonoscopic miss‐rate of large colorectal polyps publication-title: Gastrointest. Endosc. – volume: 68 start-page: 1813 year: 2019 end-page: 1819 article-title: Real‐time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study publication-title: Gut – volume: 144 start-page: 2992 year: 2019 end-page: 3000 article-title: Global trends in colorectal cancer mortality: projections to the year 2035 publication-title: Int. J. Cancer. – volume: 71 start-page: 757 year: 2022 end-page: 765 article-title: Artificial intelligence and colonoscopy experience: lessons from two randomised trials publication-title: Gut – ident: e_1_2_6_21_1 doi: 10.1136/gutjnl-2018-317500 – ident: e_1_2_6_4_1 doi: 10.1136/gutjnl-2015-310912 – ident: e_1_2_6_31_1 doi: 10.1016/j.dld.2016.06.025 – ident: e_1_2_6_22_1 doi: 10.1053/j.gastro.2020.04.062 – ident: e_1_2_6_16_1 doi: 10.1007/s00535-021-01808-w – ident: e_1_2_6_40_1 doi: 10.1053/j.gastro.2010.06.074 – ident: e_1_2_6_9_1 doi: 10.1111/j.1572-0241.1999.00796.x – ident: e_1_2_6_8_1 doi: 10.1038/ajg.2015.365 – ident: e_1_2_6_23_1 doi: 10.1053/j.gastro.2022.05.028 – ident: e_1_2_6_20_1 doi: 10.1016/j.gie.2019.08.026 – ident: e_1_2_6_37_1 doi: 10.1053/j.gastro.2006.08.038 – ident: e_1_2_6_7_1 doi: 10.1053/j.gastro.2019.01.260 – ident: e_1_2_6_39_1 doi: 10.1053/j.gastro.2010.07.011 – year: 2021 ident: e_1_2_6_15_1 article-title: Deep Learning Computer‐aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi‐center Randomized Tandem Colonoscopy Study (CADeT‐CS Trial) publication-title: Clin. Gastroenterol. Hepatol. – ident: e_1_2_6_17_1 doi: 10.1053/j.gastro.2022.03.007 – ident: e_1_2_6_26_1 doi: 10.1002/cam4.4261 – ident: e_1_2_6_38_1 doi: 10.1136/gut.2009.185884 – ident: e_1_2_6_18_1 doi: 10.1016/S2468-1253(19)30411-X – ident: e_1_2_6_36_1 doi: 10.1309/V2EPTPLJRB3FGHJL – ident: e_1_2_6_24_1 doi: 10.1136/gutjnl-2021-324471 – ident: e_1_2_6_12_1 doi: 10.7326/0003-4819-141-5-200409070-00009 – ident: e_1_2_6_14_1 doi: 10.1053/j.gastro.2020.06.023 – ident: e_1_2_6_3_1 doi: 10.3322/caac.21551 – ident: e_1_2_6_2_1 – ident: e_1_2_6_28_1 doi: 10.1016/j.cgh.2018.05.043 – ident: e_1_2_6_34_1 doi: 10.1053/j.gastro.2009.12.066 – start-page: 1 year: 2020 ident: e_1_2_6_27_1 article-title: Artificial intelligence‐assisted colonoscopy for detection of colon polyps: a prospective, randomized cohort study publication-title: J. Gastrointest. Surg. – ident: e_1_2_6_29_1 doi: 10.5217/ir.2017.15.3.411 – ident: e_1_2_6_11_1 doi: 10.1016/S0016-5085(97)70214-2 – volume: 111 start-page: 723 year: 2016 ident: e_1_2_6_30_1 article-title: The secondary quality indicator to improve prediction of adenoma miss rate apart from adenoma detection rate publication-title: ACG – ident: e_1_2_6_41_1 doi: 10.3390/diagnostics9030099 – ident: e_1_2_6_5_1 doi: 10.3322/caac.21492 – ident: e_1_2_6_33_1 doi: 10.1159/000366034 – ident: e_1_2_6_10_1 doi: 10.1016/S0016-5107(91)70668-8 – ident: e_1_2_6_6_1 doi: 10.1002/ijc.32055 – ident: e_1_2_6_32_1 doi: 10.3346/jkms.2016.31.9.1426 – ident: e_1_2_6_13_1 doi: 10.1016/j.gie.2020.06.059 – ident: e_1_2_6_19_1 doi: 10.1016/S2468-1253(19)30413-3 – ident: e_1_2_6_25_1 doi: 10.4103/sjg.SJG_377_19 – volume: 115 start-page: 980 year: 2020 ident: e_1_2_6_35_1 article-title: Increased risk of colorectal cancer tied to advanced colorectal polyps: an untapped opportunity to screen first‐degree relatives and decrease cancer burden publication-title: ACG – reference: 36751949 - J Gastroenterol Hepatol. 2023 Feb;38(2):157-158
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Snippet	Background and Aim Multiple computer‐aided techniques utilizing artificial intelligence (AI) have been created to improve the detection of polyps during... Multiple computer-aided techniques utilizing artificial intelligence (AI) have been created to improve the detection of polyps during colonoscopy and thereby... Background and AimMultiple computer‐aided techniques utilizing artificial intelligence (AI) have been created to improve the detection of polyps during...
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SubjectTerms	Adenoma Adenoma - diagnosis adenoma detection rate adenoma miss rate Artificial Intelligence Clinical trials Colonic Polyps - pathology Colonoscopy Colonoscopy - methods Colorectal cancer Colorectal carcinoma Colorectal Neoplasms - pathology Computers computer‐aided colonoscopy computer‐aided detection Humans Lesions Meta-analysis Physical characteristics polyp detection rate Polyps Systematic review Tumors
Title	Effect of computer‐aided colonoscopy on adenoma miss rates and polyp detection: A systematic review and meta‐analysis
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