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Artificial intelligence in glomerular diseases.
Pediatr Nephrol. 2022 Nov;37(11):2533-2545. doi: 10.1007/s00467-021-05419-8. Epub 2022 Mar 10.
Pediatr Nephrol. 2022.
PMID: 35266037
Review.
Development and testing of an artificial intelligence tool for predicting end-stage kidney disease in patients with immunoglobulin A nephropathy.
Schena FP, Anelli VW, Trotta J, Di Noia T, Manno C, Tripepi G, D'Arrigo G, Chesnaye NC, Russo ML, Stangou M, Papagianni A, Zoccali C, Tesar V, Coppo R; members of the VALIGA study.
Schena FP, et al. Among authors: anelli vw.
Kidney Int. 2021 May;99(5):1179-1188. doi: 10.1016/j.kint.2020.07.046. Epub 2020 Sep 2.
Kidney Int. 2021.
PMID: 32889014
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Prediction of chronic kidney disease and its progression by artificial intelligence algorithms.
Schena FP, Anelli VW, Abbrescia DI, Di Noia T.
Schena FP, et al. Among authors: anelli vw.
J Nephrol. 2022 Nov;35(8):1953-1971. doi: 10.1007/s40620-022-01302-3. Epub 2022 May 11.
J Nephrol. 2022.
PMID: 35543912
Review.
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Correction to: Prediction of chronic kidney disease and its progression by artificial intelligence algorithms.
Schena FP, Anelli VW, Abbrescia DI, Di Noia T.
Schena FP, et al. Among authors: anelli vw.
J Nephrol. 2022 Nov;35(8):2171. doi: 10.1007/s40620-022-01378-x.
J Nephrol. 2022.
PMID: 35704262
No abstract available.
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Post-hoc analysis of a tool to predict kidney failure in patients with IgA nephropathy.
Schena FP, Anelli VW, Di Noia T, Tripepi G, Abbrescia DI, Stangou M, Papagianni A, Russo ML, D'Arrigo G, Manno C.
Schena FP, et al. Among authors: anelli vw.
J Nephrol. 2023 Mar;36(2):451-461. doi: 10.1007/s40620-022-01463-1. Epub 2022 Oct 21.
J Nephrol. 2023.
PMID: 36269491
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