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Cited by in F6Publishing
For: Kurita Y, Kuwahara T, Hara K, Mizuno N, Okuno N, Matsumoto S, Obata M, Koda H, Tajika M, Shimizu Y, Nakajima A, Kubota K, Niwa Y. Diagnostic ability of artificial intelligence using deep learning analysis of cyst fluid in differentiating malignant from benign pancreatic cystic lesions. Sci Rep. 2019;9:6893. [PMID: 31053726 DOI: 10.1038/s41598-019-43314-3] [Cited by in Crossref: 21] [Cited by in F6Publishing: 15] [Article Influence: 10.5] [Reference Citation Analysis]
Number Citing Articles
1 Aronsson L, Andersson R, Ansari D. Artificial neural networks versus LASSO regression for the prediction of long-term survival after surgery for invasive IPMN of the pancreas. PLoS One 2021;16:e0249206. [PMID: 33765078 DOI: 10.1371/journal.pone.0249206] [Reference Citation Analysis]
2 Zhao ZM, Jiang N, Gao YX, Yin ZZ, Zhao GD, Tan XL, Xu Y, Liu R. Clinical diagnosis and management of pancreatic mucinous cystadenoma and cystadenocarcinoma: Single-center experience with 82 patients. World J Gastrointest Oncol. 2020;12:642-650. [PMID: 32699579 DOI: 10.4251/wjgo.v12.i6.642] [Cited by in CrossRef: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
3 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]
4 Nguon LS, Seo K, Lim JH, Song TJ, Cho SH, Park JS, Park S. Deep Learning-Based Differentiation between Mucinous Cystic Neoplasm and Serous Cystic Neoplasm in the Pancreas Using Endoscopic Ultrasonography. Diagnostics (Basel) 2021;11:1052. [PMID: 34201066 DOI: 10.3390/diagnostics11061052] [Reference Citation Analysis]
5 Carmicheal J, Patel A, Dalal V, Atri P, Dhaliwal AS, Wittel UA, Malafa MP, Talmon G, Swanson BJ, Singh S, Jain M, Kaur S, Batra SK. Elevating pancreatic cystic lesion stratification: Current and future pancreatic cancer biomarker(s). Biochim Biophys Acta Rev Cancer 2020;1873:188318. [PMID: 31676330 DOI: 10.1016/j.bbcan.2019.188318] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 3.5] [Reference Citation Analysis]
6 Gorris M, Hoogenboom SA, Wallace MB, van Hooft JE. Artificial intelligence for the management of pancreatic diseases. Dig Endosc 2021;33:231-41. [PMID: 33065754 DOI: 10.1111/den.13875] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
7 Watson MD, Lyman WB, Passeri MJ, Murphy KJ, Sarantou JP, Iannitti DA, Martinie JB, Vrochides D, Baker EH. Use of Artificial Intelligence Deep Learning to Determine the Malignant Potential of Pancreatic Cystic Neoplasms With Preoperative Computed Tomography Imaging. Am Surg 2021;87:602-7. [PMID: 33131302 DOI: 10.1177/0003134820953779] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Liu E, Bhutani MS, Sun S. Artificial intelligence: The new wave of innovation in EUS. Endosc Ultrasound 2021;10:79-83. [PMID: 33885005 DOI: 10.4103/EUS-D-21-00052] [Reference Citation Analysis]
9 Kane LE, Mellotte GS, Conlon KC, Ryan BM, Maher SG. Multi-Omic Biomarkers as Potential Tools for the Characterisation of Pancreatic Cystic Lesions and Cancer: Innovative Patient Data Integration. Cancers (Basel) 2021;13:769. [PMID: 33673153 DOI: 10.3390/cancers13040769] [Reference Citation Analysis]
10 Seven G, Silahtaroglu G, Kochan K, Ince AT, Arici DS, Senturk H. Use of Artificial Intelligence in the Prediction of Malignant Potential of Gastric Gastrointestinal Stromal Tumors. Dig Dis Sci 2021. [PMID: 33547537 DOI: 10.1007/s10620-021-06830-9] [Reference Citation Analysis]
11 Laoveeravat P, Abhyankar PR, Brenner AR, Gabr MM, Habr FG, Atsawarungruangkit A. Artificial intelligence for pancreatic cancer detection: Recent development and future direction. AIG 2021;2:56-68. [DOI: 10.35712/aig.v2.i2.56] [Reference Citation Analysis]
12 Udriștoiu AL, Cazacu IM, Gruionu LG, Gruionu G, Iacob AV, Burtea DE, Ungureanu BS, Costache MI, Constantin A, Popescu CF, Udriștoiu Ș, Săftoiu A. Real-time computer-aided diagnosis of focal pancreatic masses from endoscopic ultrasound imaging based on a hybrid convolutional and long short-term memory neural network model. PLoS One 2021;16:e0251701. [PMID: 34181680 DOI: 10.1371/journal.pone.0251701] [Reference Citation Analysis]
13 Keane MG, Afghani E. A Review of the Diagnosis and Management of Premalignant Pancreatic Cystic Lesions. J Clin Med 2021;10:1284. [PMID: 33808853 DOI: 10.3390/jcm10061284] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
14 Goyal H, Mann R, Gandhi Z, Perisetti A, Zhang Z, Sharma N, Saligram S, Inamdar S, Tharian B. Application of artificial intelligence in pancreaticobiliary diseases.Ther Adv Gastrointest Endosc. 2021;14:2631774521993059. [PMID: 33644756 DOI: 10.1177/2631774521993059] [Reference Citation Analysis]
15 Lin H, Xue X, Wang X, Dang S, Gu M. Application of artificial intelligence for the diagnosis, treatment, and prognosis of pancreatic cancer. AIG 2020;1:19-29. [DOI: 10.35712/aig.v1.i1.19] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]