BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Syed S, Al-Boni M, Khan MN, Sadiq K, Iqbal NT, Moskaluk CA, Kelly P, Amadi B, Ali SA, Moore SR, Brown DE. Assessment of Machine Learning Detection of Environmental Enteropathy and Celiac Disease in Children. JAMA Netw Open. 2019;2:e195822. [PMID: 31199451 DOI: 10.1001/jamanetworkopen.2019.5822] [Cited by in Crossref: 13] [Cited by in F6Publishing: 9] [Article Influence: 4.3] [Reference Citation Analysis]
Number Citing Articles
1 Stidham RW, Takenaka K. Artificial Intelligence for Disease Assessment in IBD: How Will it Change Our Practice? Gastroenterology 2022:S0016-5085(21)04070-1. [PMID: 34995537 DOI: 10.1053/j.gastro.2021.12.238] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Makharia GK, Singh P, Catassi C, Sanders DS, Leffler D, Ali RAR, Bai JC. The global burden of coeliac disease: opportunities and challenges. Nat Rev Gastroenterol Hepatol 2022. [PMID: 34980921 DOI: 10.1038/s41575-021-00552-z] [Reference Citation Analysis]
3 Sana MK, Hussain ZM, Shah PA, Maqsood MH. Artificial intelligence in celiac disease.Comput Biol Med. 2020;125:103996. [PMID: 32979542 DOI: 10.1016/j.compbiomed.2020.103996] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
4 Balaban DV, Jinga M. Digital histology in celiac disease: A practice changer. AIG 2020;1:1-4. [DOI: 10.35712/wjg.v1.i1.1] [Reference Citation Analysis]
5 Syed S, Stidham RW. Potential for Standardization and Automation for Pathology and Endoscopy in Inflammatory Bowel Disease. Inflamm Bowel Dis. 2020;26:1490-1497. [PMID: 32869844 DOI: 10.1093/ibd/izaa211] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
6 Syed S, Ehsan L, Shrivastava A, Sengupta S, Khan M, Kowsari K, Guleria S, Sali R, Kant K, Kang SJ, Sadiq K, Iqbal NT, Cheng L, Moskaluk CA, Kelly P, Amadi BC, Asad Ali S, Moore SR, Brown DE. Artificial Intelligence-based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection. J Pediatr Gastroenterol Nutr 2021;72:833-41. [PMID: 33534362 DOI: 10.1097/MPG.0000000000003057] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Gnodi E, Meneveri R, Barisani D. Celiac disease: From genetics to epigenetics. World J Gastroenterol 2022; 28(4): 449-463 [DOI: 10.3748/wjg.v28.i4.449] [Reference Citation Analysis]
8 Alam Khan Z, Feng Z, Uddin MI, Mast N, Ali Shah SA, Imtiaz M, Al-khasawneh MA, Mahmoud M, Ali S. Optimal Policy Learning for Disease Prevention Using Reinforcement Learning. Scientific Programming 2020;2020:1-13. [DOI: 10.1155/2020/7627290] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
9 Glissen Brown JR, Waljee AK, Mori Y, Sharma P, Berzin TM. Charting a path forward for clinical research in artificial intelligence and gastroenterology. Dig Endosc 2021. [PMID: 33715244 DOI: 10.1111/den.13974] [Reference Citation Analysis]
10 Glissen Brown JR, Berzin TM. Adoption of New Technologies: Artificial Intelligence. Gastrointest Endosc Clin N Am 2021;31:743-58. [PMID: 34538413 DOI: 10.1016/j.giec.2021.05.010] [Reference Citation Analysis]
11 Liu TC, VanBuskirk K, Ali SA, Kelly MP, Holtz LR, Yilmaz OH, Sadiq K, Iqbal N, Amadi B, Syed S, Ahmed T, Moore S, Ndao IM, Isaacs MH, Pfeifer JD, Atlas H, Tarr PI, Denno DM, Moskaluk CA. A novel histological index for evaluation of environmental enteric dysfunction identifies geographic-specific features of enteropathy among children with suboptimal growth. PLoS Negl Trop Dis 2020;14:e0007975. [PMID: 31929525 DOI: 10.1371/journal.pntd.0007975] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 5.5] [Reference Citation Analysis]
12 Balaban DV, Jinga M. Digital histology in celiac disease: A practice changer. Artif Intell Gastroenterol 2020; 1(1): 1-4 [DOI: 10.35712/aig.v1.i1.1] [Reference Citation Analysis]
13 Ludwig T, Oukid I, Wong J, Ting S, Huysentruyt K, Roy P, Foussat AC, Vandenplas Y. Machine Learning Supports Automated Digital Image Scoring of Stool Consistency in Diapers. J Pediatr Gastroenterol Nutr 2021;72:255-61. [PMID: 33275399 DOI: 10.1097/MPG.0000000000003007] [Reference Citation Analysis]
14 Koh JEW, De Michele S, Sudarshan VK, Jahmunah V, Ciaccio EJ, Ooi CP, Gururajan R, Gururajan R, Oh SL, Lewis SK, Green PH, Bhagat G, Acharya UR. Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach. Comput Methods Programs Biomed 2021;203:106010. [PMID: 33831693 DOI: 10.1016/j.cmpb.2021.106010] [Reference Citation Analysis]
15 Yang Y, Li YX, Yao RQ, Du XH, Ren C. Artificial intelligence in small intestinal diseases: Application and prospects. World J Gastroenterol 2021; 27(25): 3734-3747 [PMID: 34321840 DOI: 10.3748/wjg.v27.i25.3734] [Reference Citation Analysis]