BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: van den Heever M, Mittal A, Haydock M, Windsor J. The use of intelligent database systems in acute pancreatitis--a systematic review. Pancreatology 2014;14:9-16. [PMID: 24555973 DOI: 10.1016/j.pan.2013.11.010] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Tan JW, Gao Y, Kow AWC, Bonney G, Madhavan K, Windsor JA, Iyer SG. Clinical management and outcomes of acute pancreatitis: Identifying areas for quality improvement in a tertiary Asian setting. Pancreatology 2019;19:507-18. [DOI: 10.1016/j.pan.2019.04.011] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
2 Kothari DJ, Sheth SG. Opportunity Is Knocking: Brainstorming Neural Networks for Management of Acute Pancreatitis. Pancreas 2021;50:e11-3. [PMID: 33370040 DOI: 10.1097/MPA.0000000000001716] [Reference Citation Analysis]
3 Mandalia A, Wamsteker EJ, DiMagno MJ. Recent advances in understanding and managing acute pancreatitis. F1000Res 2018;7:F1000 Faculty Rev-959. [PMID: 30026919 DOI: 10.12688/f1000research.14244.2] [Cited by in Crossref: 8] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 Akshintala VS, Khashab MA. Artificial intelligence in pancreaticobiliary endoscopy. J Gastroenterol Hepatol. 2021;36:25-30. [PMID: 33448514 DOI: 10.1111/jgh.15343] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
5 Walsh CG, Chaudhry B, Dua P, Goodman KW, Kaplan B, Kavuluru R, Solomonides A, Subbian V. Stigma, biomarkers, and algorithmic bias: recommendations for precision behavioral health with artificial intelligence. JAMIA Open 2020;3:9-15. [PMID: 32607482 DOI: 10.1093/jamiaopen/ooz054] [Cited by in Crossref: 8] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
6 Kröner PT, Engels MM, Glicksberg BS, Johnson KW, Mzaik O, van Hooft JE, Wallace MB, El-Serag HB, Krittanawong C. Artificial intelligence in gastroenterology: A state-of-the-art review. World J Gastroenterol 2021; 27(40): 6794-6824 [PMID: 34790008 DOI: 10.3748/wjg.v27.i40.6794] [Reference Citation Analysis]
7 Mandalia A, Wamsteker EJ, DiMagno MJ. Recent advances in understanding and managing acute pancreatitis. F1000Res 2018;7:F1000 Faculty Rev-959. [PMID: 30026919 DOI: 10.12688/f1000research.14244.2] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 1.0] [Reference Citation Analysis]
8 Ding N, Guo C, Li C, Zhou Y, Chai X. An Artificial Neural Networks Model for Early Predicting In-Hospital Mortality in Acute Pancreatitis in MIMIC-III. Biomed Res Int 2021;2021:6638919. [PMID: 33575333 DOI: 10.1155/2021/6638919] [Reference Citation Analysis]
9 Ong Y, Shelat VG. Ranson score to stratify severity in Acute Pancreatitis remains valid - Old is gold. Expert Rev Gastroenterol Hepatol 2021;15:865-77. [PMID: 33944648 DOI: 10.1080/17474124.2021.1924058] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Ho TW, Wu JM, Kuo TC, Yang CY, Lai HS, Hsieh SH, Lai F, Tien YW. Change of Both Endocrine and Exocrine Insufficiencies After Acute Pancreatitis in Non-Diabetic Patients: A Nationwide Population-Based Study. Medicine (Baltimore) 2015;94:e1123. [PMID: 26166112 DOI: 10.1097/MD.0000000000001123] [Cited by in Crossref: 19] [Cited by in F6Publishing: 15] [Article Influence: 2.7] [Reference Citation Analysis]