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Cited by in F6Publishing
For: Thongprayoon C, Kaewput W, Kovvuru K, Hansrivijit P, Kanduri SR, Bathini T, Chewcharat A, Leeaphorn N, Gonzalez-Suarez ML, Cheungpasitporn W. Promises of Big Data and Artificial Intelligence in Nephrology and Transplantation. J Clin Med 2020;9:E1107. [PMID: 32294906 DOI: 10.3390/jcm9041107] [Cited by in Crossref: 18] [Cited by in F6Publishing: 12] [Article Influence: 9.0] [Reference Citation Analysis]
Number Citing Articles
1 Thongprayoon C, Hansrivijit P, Leeaphorn N, Acharya P, Torres-Ortiz A, Kaewput W, Kovvuru K, Kanduri SR, Bathini T, Cheungpasitporn W. Recent Advances and Clinical Outcomes of Kidney Transplantation. J Clin Med 2020;9:E1193. [PMID: 32331309 DOI: 10.3390/jcm9041193] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
2 Vaitla PK, Thongprayoon C, Hansrivijit P, Kanduri SR, Kovvuru K, Rivera FHC, Cato LD, Garla V, Watthanasuntorn K, Wijarnpreecha K, Chewcharat A, Aeddula NR, Bathini T, Koller FL, Matemavi P, Cheungpasitporn W. Epidemiology of cannabis use and associated outcomes among kidney transplant recipients: A meta‐analysis. J Evid Based Med 2021;14:90-6. [DOI: 10.1111/jebm.12401] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
3 Thongprayoon C, Neyra JA, Hansrivijit P, Medaura J, Leeaphorn N, Davis PW, Kaewput W, Bathini T, Salim SA, Chewcharat A, Aeddula NR, Vallabhajosyula S, Mao MA, Cheungpasitporn W. Serum Klotho in Living Kidney Donors and Kidney Transplant Recipients: A Meta-Analysis. J Clin Med 2020;9:E1834. [PMID: 32545510 DOI: 10.3390/jcm9061834] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
4 Thongprayoon C, Kaewput W, Choudhury A, Hansrivijit P, Mao MA, Cheungpasitporn W. Is It Time for Machine Learning Algorithms to Predict the Risk of Kidney Failure in Patients with Chronic Kidney Disease? J Clin Med 2021;10:1121. [PMID: 33800205 DOI: 10.3390/jcm10051121] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Zhou X, Zhong X, Duan L. Integration of Artificial Intelligence And Multi-omics in Kidney Diseases. Fundamental Research 2022. [DOI: 10.1016/j.fmre.2022.01.037] [Reference Citation Analysis]
6 Sharma S, Awasthi R, Sastry YS, Budarapu PR. Physics-informed neural networks for estimating stress transfer mechanics in single lap joints. J Zhejiang Univ Sci A 2021;22:621-31. [DOI: 10.1631/jzus.a2000403] [Reference Citation Analysis]
7 Gameiro J, Fonseca JA, Marques F, Lopes JA. Management of Acute Kidney Injury Following Major Abdominal Surgery: A Contemporary Review. J Clin Med 2020;9:E2679. [PMID: 32824854 DOI: 10.3390/jcm9082679] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Castillo-astorga R, Sotomayor CG. Toward Advancing Long-Term Outcomes of Kidney Transplantation with Artificial Intelligence. Transplantology 2021;2:118-28. [DOI: 10.3390/transplantology2020012] [Reference Citation Analysis]
9 Benjamens S, Moers C, Slart RHJA, Pol RA. Kidney Transplantation and Diagnostic Imaging: The Early Days and Future Advancements of Transplant Surgery. Diagnostics (Basel) 2020;11:E47. [PMID: 33396860 DOI: 10.3390/diagnostics11010047] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
10 Oomen L, Bootsma-robroeks C, Cornelissen E, Wall LD, Feitz W. Pearls and Pitfalls in Pediatric Kidney Transplantation After 5 Decades. Front Pediatr 2022;10:856630. [DOI: 10.3389/fped.2022.856630] [Reference Citation Analysis]
11 Thongprayoon C, Sy-Go JPT, Nissaisorakarn V, Dumancas CY, Keddis MT, Kattah AG, Pattharanitima P, Vallabhajosyula S, Mao MA, Qureshi F, Garovic VD, Dillon JJ, Erickson SB, Cheungpasitporn W. Machine Learning Consensus Clustering Approach for Hospitalized Patients with Dysmagnesemia. Diagnostics (Basel) 2021;11:2119. [PMID: 34829467 DOI: 10.3390/diagnostics11112119] [Reference Citation Analysis]
12 Ohara T, Ikeda H, Sugitani Y, Suito H, Huynh VQH, Kinomura M, Haraguchi S, Sakurama K. Artificial intelligence supported anemia control system (AISACS) to prevent anemia in maintenance hemodialysis patients. Int J Med Sci 2021;18:1831-9. [PMID: 33746600 DOI: 10.7150/ijms.53298] [Reference Citation Analysis]
13 Thongprayoon C, Vaitla P, Craici IM, Leeaphorn N, Hansrivijit P, Salim SA, Bathini T, Rivera FHC, Cheungpasitporn W. The Use of Donor-Derived Cell-Free DNA for Assessment of Allograft Rejection and Injury Status. J Clin Med 2020;9:E1480. [PMID: 32423115 DOI: 10.3390/jcm9051480] [Cited by in Crossref: 11] [Cited by in F6Publishing: 7] [Article Influence: 5.5] [Reference Citation Analysis]
14 Cheungpasitporn W, Thongprayoon C, Vaitla PK, Chewcharat A, Hansrivijit P, Koller FL, Mao MA, Bathini T, Salim SA, Katari S, Cummings LS, Island E, Forster J, Leeaphorn N. Degree of Glomerulosclerosis in Procurement Kidney Biopsies from Marginal Donor Kidneys and Their Implications in Predicting Graft Outcomes. J Clin Med 2020;9:E1469. [PMID: 32422905 DOI: 10.3390/jcm9051469] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
15 Thongprayoon C, Hansrivijit P, Mao MA, Vaitla PK, Kattah AG, Pattharanitima P, Vallabhajosyula S, Nissaisorakarn V, Petnak T, Keddis MT, Erickson SB, Dillon JJ, Garovic VD, Cheungpasitporn W. Machine Learning Consensus Clustering of Hospitalized Patients with Admission Hyponatremia. Diseases 2021;9:54. [PMID: 34449583 DOI: 10.3390/diseases9030054] [Cited by in Crossref: 3] [Article Influence: 3.0] [Reference Citation Analysis]
16 Thongprayoon C, Lertjitbanjong P, Cheungpasitporn W, Hansrivijit P, Fülöp T, Kovvuru K, Kanduri SR, Davis PW, Vallabhajosyula S, Bathini T, Watthanasuntorn K, Prasitlumkum N, Chokesuwattanaskul R, Ratanapo S, Mao MA, Kashani K. Incidence and impact of acute kidney injury on patients with implantable left ventricular assist devices: a Meta-analysis. Ren Fail 2020;42:495-512. [PMID: 32434422 DOI: 10.1080/0886022X.2020.1768116] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]
17 Huo Y, Deng R, Liu Q, Fogo AB, Yang H. AI applications in renal pathology. Kidney Int 2021;99:1309-20. [PMID: 33581198 DOI: 10.1016/j.kint.2021.01.015] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
18 Thongprayoon C, Nissaisorakarn V, Pattharanitima P, Mao MA, Kattah AG, Keddis MT, Dumancas CY, Vallabhajosyula S, Petnak T, Erickson SB, Dillon JJ, Garovic VD, Kashani KB, Cheungpasitporn W. Subtyping Hyperchloremia among Hospitalized Patients by Machine Learning Consensus Clustering. Medicina (Kaunas) 2021;57:903. [PMID: 34577826 DOI: 10.3390/medicina57090903] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
19 Kanduri SR, Kovvuru K, Cheungpasitporn W, Thongprayoon C, Bathini T, Garla V, Vailta P, Vallabhajosyula S, Medaura J, Kashani K. Kidney Recovery From Acute Kidney Injury After Hematopoietic Stem Cell Transplant: A Systematic Review and Meta-Analysis. Cureus 2021;13:e12418. [PMID: 33659105 DOI: 10.7759/cureus.12418] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
20 Rodrigues FG, Borst MHD, Heilberg IP. Dietary Assessment and Self-Management Using Information Technology in Order to Improve Outcomes in Kidney Transplant Recipients. Transplantology 2020;1:97-101. [DOI: 10.3390/transplantology1020009] [Reference Citation Analysis]
21 Thongprayoon C, Vaitla P, Nissaisorakarn V, Mao MA, Genovez JLZ, Kattah AG, Pattharanitima P, Vallabhajosyula S, Keddis MT, Qureshi F, Dillon JJ, Garovic VD, Kashani KB, Cheungpasitporn W. Clinically Distinct Subtypes of Acute Kidney Injury on Hospital Admission Identified by Machine Learning Consensus Clustering. Med Sci (Basel) 2021;9:60. [PMID: 34698185 DOI: 10.3390/medsci9040060] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]