BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Aziz M, Fatima R, Dong C, Lee-Smith W, Nawras A. The impact of deep convolutional neural network-based artificial intelligence on colonoscopy outcomes: A systematic review with meta-analysis. J Gastroenterol Hepatol. 2020;35:1676-1683. [PMID: 32267558 DOI: 10.1111/jgh.15070] [Cited by in Crossref: 15] [Cited by in F6Publishing: 13] [Article Influence: 7.5] [Reference Citation Analysis]
Number Citing Articles
1 Zhang M, Zhu C, Wang Y, Kong Z, Hua Y, Zhang W, Si X, Ye B, Xu X, Li L, Heng D, Liu B, Tian S, Wu J, Dang Y, Zhang G. Differential diagnosis for esophageal protruded lesions using a deep convolution neural network in endoscopic images. Gastrointest Endosc 2021;93:1261-1272.e2. [PMID: 33065026 DOI: 10.1016/j.gie.2020.10.005] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Refai H, Koudsi B, Kudsi OY. Novel polyp detection technology for colonoscopy: 3D optical scanner. Endosc Int Open 2020;8:E1553-9. [PMID: 33140010 DOI: 10.1055/a-1261-3349] [Reference Citation Analysis]
3 East JE, Rittscher J. Artificial intelligence for colonoscopic polyp detection: High performance vs human nature.J Gastroenterol Hepatol. 2020;35:1663-1664. [PMID: 33043510 DOI: 10.1111/jgh.15262] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
4 Cao B, Zhang KC, Wei B, Chen L. Status quo and future prospects of artificial neural network from the perspective of gastroenterologists. World J Gastroenterol 2021; 27(21): 2681-2709 [PMID: 34135549 DOI: 10.3748/wjg.v27.i21.2681] [Cited by in CrossRef: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Ang TL, East JE. Image-enhanced endoscopy for detection and diagnosis of colonic neoplasia: Time to shift focus. J Gastroenterol Hepatol 2021;36:2635-6. [PMID: 34622988 DOI: 10.1111/jgh.15684] [Reference Citation Analysis]
6 Li J, Lu J, Yan J, Tan Y, Liu D. Artificial intelligence can increase the detection rate of colorectal polyps and adenomas: a systematic review and meta-analysis. European Journal of Gastroenterology & Hepatology 2021;33:1041-8. [DOI: 10.1097/meg.0000000000001906] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
7 El-Nakeep S, El-Nakeep M. Artificial intelligence for cancer detection in upper gastrointestinal endoscopy, current status, and future aspirations. Artif Intell Gastroenterol 2021; 2(5): 124-132 [DOI: 10.35712/aig.v2.i5.124] [Reference Citation Analysis]
8 Parasher G, Wong M, Rawat M. Evolving role of artificial intelligence in gastrointestinal endoscopy. World J Gastroenterol 2020; 26(46): 7287-7298 [PMID: 33362384 DOI: 10.3748/wjg.v26.i46.7287] [Cited by in CrossRef: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
9 Pecere S, Milluzzo SM, Esposito G, Dilaghi E, Telese A, Eusebi LH. Applications of Artificial Intelligence for the Diagnosis of Gastrointestinal Diseases. Diagnostics (Basel) 2021;11:1575. [PMID: 34573917 DOI: 10.3390/diagnostics11091575] [Reference Citation Analysis]
10 Markarian E, Fung BM, Girotra M, Tabibian JH. Large polyps: Pearls for the referring and receiving endoscopist. World J Gastrointest Endosc 2021; 13(12): 638-648 [DOI: 10.4253/wjge.v13.i12.638] [Reference Citation Analysis]
11 Aziz M, Fatima R, Lee-smith W, Khuder S, Nawras A. Comparing endoscopic interventions to improve serrated adenoma detection rates during colonoscopy: a systematic review and network meta-analysis of randomized controlled trials. European Journal of Gastroenterology & Hepatology 2020;32:1284-92. [DOI: 10.1097/meg.0000000000001844] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
12 Tang CP, Shao PP, Hsieh YH, Leung FW. A review of water exchange and artificial intelligence in improving adenoma detection. Tzu Chi Med J 2021;33:108-14. [PMID: 33912406 DOI: 10.4103/tcmj.tcmj_88_20] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Zhou Q, Chen ZH, Cao YH, Peng S. Clinical impact and quality of randomized controlled trials involving interventions evaluating artificial intelligence prediction tools: a systematic review. NPJ Digit Med 2021;4:154. [PMID: 34711955 DOI: 10.1038/s41746-021-00524-2] [Reference Citation Analysis]
14 Aziz M, Haghbin H, Gangwani MK, Sharma S, Nawras Y, Khan Z, Chandan S, Mohan BP, Lee-Smith W, Nawras A. Efficacy of Endocuff Vision compared to first-generation Endocuff in adenoma detection rate and polyp detection rate in high-definition colonoscopy: a systematic review and network meta-analysis. Endosc Int Open 2021;9:E41-50. [PMID: 33403235 DOI: 10.1055/a-1293-7327] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
15 Bang CS, Lee JJ, Baik GH. Computer-Aided Diagnosis of Diminutive Colorectal Polyps in Endoscopic Images: Systematic Review and Meta-analysis of Diagnostic Test Accuracy. J Med Internet Res 2021;23:e29682. [PMID: 34432643 DOI: 10.2196/29682] [Cited by in Crossref: 3] [Article Influence: 3.0] [Reference Citation Analysis]
16 Wu D, Chen S, Zhang Y, Zhang H, Wang Q, Li J, Fu Y, Wang S, Yang H, Du H, Zhu H, Pan H, Shen Z. Facial Recognition Intensity in Disease Diagnosis Using Automatic Facial Recognition. J Pers Med 2021;11:1172. [PMID: 34834524 DOI: 10.3390/jpm11111172] [Reference Citation Analysis]
17 Kim KO, Kim EY. Application of Artificial Intelligence in the Detection and Characterization of Colorectal Neoplasm. Gut Liver. 2021;15:346-353. [PMID: 32773386 DOI: 10.5009/gnl20186] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
18 Zhu Y, Talha M. Research on the Path of Network Opinion Expression in AI Environment for College Students. Comput Math Methods Med 2021;2021:4360792. [PMID: 34925540 DOI: 10.1155/2021/4360792] [Reference Citation Analysis]
19 Mohan BP, Facciorusso A, Khan SR, Chandan S, Kassab LL, Gkolfakis P, Tziatzios G, Triantafyllou K, Adler DG. Real-time computer aided colonoscopy versus standard colonoscopy for improving adenoma detection rate: A meta-analysis of randomized-controlled trials. EClinicalMedicine 2020;29-30:100622. [PMID: 33294821 DOI: 10.1016/j.eclinm.2020.100622] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
20 Aziz M, Mehta TI, Weissman S, Sharma S, Fatima R, Khan Z, Dasari CS, Lee-Smith W, Nawras A, Adler DG. Do Water-aided Techniques Improve Serrated Polyp Detection Rate During Colonoscopy?: A Systematic Review With Meta-Analysis. J Clin Gastroenterol 2021;55:520-7. [PMID: 33355836 DOI: 10.1097/MCG.0000000000001386] [Reference Citation Analysis]