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Cited by in F6Publishing
For: Mai R, Lu H, Bai T, Liang R, Lin Y, Ma L, Xiang B, Wu G, Li L, Ye J. Artificial neural network model for preoperative prediction of severe liver failure after hemihepatectomy in patients with hepatocellular carcinoma. Surgery 2020;168:643-52. [DOI: 10.1016/j.surg.2020.06.031] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Yoshino K, Yoh T, Taura K, Seo S, Ciria R, Briceño-Delgado J. A systematic review of prediction models for post-hepatectomy liver failure in patients undergoing liver surgery. HPB (Oxford) 2021:S1365-182X(21)00141-6. [PMID: 34090805 DOI: 10.1016/j.hpb.2021.05.002] [Reference Citation Analysis]
2 Wagner M, Schulze A, Bodenstedt S, Maier-hein L, Speidel S, Nickel F, Berlth F, Müller-stich BP, Grimminger P. Technische Innovationen und Blick in die Zukunft. Chirurg. [DOI: 10.1007/s00104-021-01569-5] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Zou ZM, Chang DH, Liu H, Xiao YD. Current updates in machine learning in the prediction of therapeutic outcome of hepatocellular carcinoma: what should we know? Insights Imaging 2021;12:31. [PMID: 33675433 DOI: 10.1186/s13244-021-00977-9] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
4 Lu HZ, Mai RY, Wang XB, Chen J, Bai T, Ma L, Xiang BD, Cheng SQ, Guo WX, Li LQ, Ye JZ. Developmental artificial neural network model to evaluate the preoperative safe limit of future liver remnant volume for HCC combined with clinically significant portal hypertension. Future Oncol 2022;18:2683-94. [PMID: 35699041 DOI: 10.2217/fon-2021-1297] [Reference Citation Analysis]
5 Veerankutty FH, Jayan G, Yadav MK, Manoj KS, Yadav A, Nair SRS, Shabeerali TU, Yeldho V, Sasidharan M, Rather SA. Artificial Intelligence in hepatology, liver surgery and transplantation: Emerging applications and frontiers of research. World J Hepatol 2021; 13(12): 1977-1990 [DOI: 10.4254/wjh.v13.i12.1977] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Bari H, Wadhwani S, Dasari BVM. Role of artificial intelligence in hepatobiliary and pancreatic surgery. World J Gastrointest Surg 2021; 13(1): 7-18 [PMID: 33552391 DOI: 10.4240/wjgs.v13.i1.7] [Cited by in CrossRef: 8] [Cited by in F6Publishing: 6] [Article Influence: 8.0] [Reference Citation Analysis]
7 Mai RY, Zeng J, Meng WD, Lu HZ, Liang R, Lin Y, Wu GB, Li LQ, Ma L, Ye JZ, Bai T. Artificial neural network model to predict post-hepatectomy early recurrence of hepatocellular carcinoma without macroscopic vascular invasion. BMC Cancer 2021;21:283. [PMID: 33726693 DOI: 10.1186/s12885-021-07969-4] [Reference Citation Analysis]
8 Christou CD, Tsoulfas G. Role of three-dimensional printing and artificial intelligence in the management of hepatocellular carcinoma: Challenges and opportunities. World J Gastrointest Oncol 2022; 14(4): 765-793 [DOI: 10.4251/wjgo.v14.i4.765] [Reference Citation Analysis]
9 Surel AA, Tez M. Re: Artificial neural network model for preoperative prediction of severe liver failure after hemihepatectomy in patients with hepatocellular carcinoma. Surgery 2021;169:1000. [PMID: 33059929 DOI: 10.1016/j.surg.2020.08.038] [Reference Citation Analysis]
10 Maier-Hein L, Eisenmann M, Sarikaya D, März K, Collins T, Malpani A, Fallert J, Feussner H, Giannarou S, Mascagni P, Nakawala H, Park A, Pugh C, Stoyanov D, Vedula SS, Cleary K, Fichtinger G, Forestier G, Gibaud B, Grantcharov T, Hashizume M, Heckmann-Nötzel D, Kenngott HG, Kikinis R, Mündermann L, Navab N, Onogur S, Roß T, Sznitman R, Taylor RH, Tizabi MD, Wagner M, Hager GD, Neumuth T, Padoy N, Collins J, Gockel I, Goedeke J, Hashimoto DA, Joyeux L, Lam K, Leff DR, Madani A, Marcus HJ, Meireles O, Seitel A, Teber D, Ückert F, Müller-Stich BP, Jannin P, Speidel S. Surgical data science - from concepts toward clinical translation. Med Image Anal 2021;76:102306. [PMID: 34879287 DOI: 10.1016/j.media.2021.102306] [Cited by in Crossref: 12] [Cited by in F6Publishing: 9] [Article Influence: 12.0] [Reference Citation Analysis]
11 Dong H, Wang X, Rajakani K. Identification of Signature Genes and Construction of an Artificial Neural Network Model of Prostate Cancer. Journal of Healthcare Engineering 2022;2022:1-11. [DOI: 10.1155/2022/1562511] [Reference Citation Analysis]
12 Sakamoto T, Goto T, Fujiogi M, Kawarai Lefor A. Machine learning in gastrointestinal surgery. Surg Today 2021. [PMID: 34559310 DOI: 10.1007/s00595-021-02380-9] [Reference Citation Analysis]