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Generalizability of an acute kidney injury prediction model across health systems.
Cao J, Zhang X, Shahinian V, Yin H, Steffick D, Saran R, Crowley S, Mathis M, Nadkarni GN, Heung M, Singh K. Cao J, et al. Among authors: nadkarni gn. Nat Mach Intell. 2022 Dec;4(12):1121-1129. doi: 10.1038/s42256-022-00563-8. Epub 2022 Dec 1. Nat Mach Intell. 2022. PMID: 38148789 Free PMC article.
Correlating Deep Learning-Based Automated Reference Kidney Histomorphometry with Patient Demographics and Creatinine.
Ginley B, Lucarelli N, Zee J, Jain S, Han SS, Rodrigues L, Ozrazgat-Baslanti T, Wong ML, Nadkarni G, Jen KY, Sarder P. Ginley B, et al. bioRxiv [Preprint]. 2023 May 18:2023.05.18.541348. doi: 10.1101/2023.05.18.541348. bioRxiv. 2023. Update in: Kidney360. 2023 Dec 1;4(12):1726-1737. doi: 10.34067/KID.0000000000000299 PMID: 37292965 Free PMC article. Updated. Preprint.
Automated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing.
Nargesi AA, Adejumo P, Dhingra LS, Rosand B, Hengartner A, Coppi A, Benigeri S, Sen S, Ahmad T, Nadkarni GN, Lin Z, Ahmad FS, Krumholz HM, Khera R. Nargesi AA, et al. Among authors: nadkarni gn. JACC Heart Fail. 2024 Oct 9:S2213-1779(24)00618-8. doi: 10.1016/j.jchf.2024.08.012. Online ahead of print. JACC Heart Fail. 2024. PMID: 39453355
Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure: A Meta-analysis.
Tangri N, Grams ME, Levey AS, Coresh J, Appel LJ, Astor BC, Chodick G, Collins AJ, Djurdjev O, Elley CR, Evans M, Garg AX, Hallan SI, Inker LA, Ito S, Jee SH, Kovesdy CP, Kronenberg F, Heerspink HJ, Marks A, Nadkarni GN, Navaneethan SD, Nelson RG, Titze S, Sarnak MJ, Stengel B, Woodward M, Iseki K; CKD Prognosis Consortium. Tangri N, et al. Among authors: nadkarni gn. JAMA. 2016 Jan 12;315(2):164-74. doi: 10.1001/jama.2015.18202. JAMA. 2016. PMID: 26757465 Free PMC article.
356 results