Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study

ColonoscopyGastrointestinal Cancer

Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study

Lancet Gastroenterol Hepatol.

Wang P, Liu X, Berzin TM, Glissen Brown JR, Liu P, Zhou C, Lei L, Li L, Guo Z, Lei S, Xiong F, Wang H, Song Y, Pan Y, Zhou G

doi: 10.1016/S2468-1253(19)30411-X.

ColonoscopyGastrointestinal Cancer

Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial

Gastroenterology.

Repici A, Badalamenti M, Maselli R, Correale L, Radaelli F, Rondonotti E, Ferrara E, Spadaccini M, Alkandari A, Fugazza A, Anderloni A, Galtieri PA, Pellegatta G, Carrara S, Di Leo M, Craviotto V, Lamonaca L, Lorenzetti R, Andrealli A, Antonelli G, Wallace M, Sharma P, Rosch T, Hassan C

doi: 10.1053/j.gastro.2020.04.062.

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Computer-aided detection versus advanced imaging for detection of colorectal neoplasia: a systematic review and network meta-analysis

Lancet Gastroenterol Hepatol

Spadaccini M, Iannone A, Maselli R, Badalamenti M, Desai M, Chandrasekar VT, Patel HK, Fugazza A, Pellegatta G, Galtieri PA, Lollo G, Carrara S, Anderloni A, Rex DK, Savevski V, Wallace MB, Bhandari P, Roesch T, Gralnek IM, Sharma P, Hassan C, Repici A

doi: 10.1016/S2468-1253(21)00215-6

ColonoscopyGastrointestinal Cancer

Berberine versus placebo for the prevention of recurrence of colorectal adenoma: a multicentre, double-blinded, randomised controlled study

Lancet Gastroenterol Hepatol.

Chen YX, Gao QY, Zou TH, Wang BM, Liu SD, Sheng JQ, Ren JL, Zou XP, Liu ZJ, Song YY, Xiao B, Sun XM, Dou XT, Cao HL, Yang XN, Li N, Kang Q, Zhu W, Xu HZ, Chen HM, Cao XC, Fang JY

doi: 10.1016/S2468-1253(19)30409-1.

Accurate Classification of Diminutive Colorectal Polyps Using Computer-aided Analysis

Gastroenterology.

Chen PJ, Lin MC, Lai MJ, Lin JC, Lu HH, Tseng VS

doi: 10.1053/j.gastro.2017.10.010.

ColonoscopyGastrointestinal Cancer

DEEP LEARNING COMPUTER-AIDED POLYP DETECTION REDUCES ADENOMA MISS RATE: A U.S. MULTI-CENTER RANDOMIZED TANDEM COLONOSCOPY STUDY (CADeT-CS Trial)

Clin Gastroenterol Hepatol

Glissen Brown JR, Mansour NM, Wang P, Chuchuca MA, Minchenberg SB, Chandnani M, Liu L, Gross SA, Sengupta N, Berzin TM

doi: 10.1016/j.cgh.2021.09.009

Gastrointestinal Cancer

Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study

Lancet Oncol.

Luo H, Xu G, Li C, He L, Luo L, Wang Z, Jing B, Deng Y, Jin Y, Li Y, Li B, Tan W, He C, Seeruttun SR, Wu Q, Huang J, Huang DW, Chen B, Lin SB, Chen QM, Yuan CM, Chen HX, Pu HY, Zhou F, He Y, Xu RH

doi: 10.1016/S1470-2045(19)30637-0.

Colonoscopy

Diagnostic accuracy of a novel artificial intelligence system for adenoma detection in daily practice: a prospective non-randomized comparative study

Endoscopy

Zippelius C, Alqahtani SA, Schedel J, Brookman-Amissah D, Muehlenberg K, Federle C, Salzberger A, Schorr W, Pech O

doi: 10.1055/a-1556-5984

Colonoscopy

Blue-light imaging compared with high-definition white light for real-time histology prediction of subcentimetric colorectal polyps: a prospective randomized study

Gastrointest Endosc.

Rondonotti E, Paggi S, Amato A, Mogavero G, Andrealli A, Conforti FS, Conte D, Spinzi G, Radaelli F

doi: 10.1016/j.gie.2018.09.027.

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Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study

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Computer-aided detection versus advanced imaging for detection of colorectal neoplasia: a systematic review and network meta-analysis

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