Kidney Fibrosis Assessment by CT Using Machine Learning
- PMID: 35368576
- PMCID: PMC8967599
- DOI: 10.34067/KID.0007262021
Kidney Fibrosis Assessment by CT Using Machine Learning
Keywords: chronic kidney disease; fibrosis; kidney diseases; machine learning; x-ray computed tomography.
Conflict of interest statement
K.V. Lemley reports honoraria from the National Institutes of Health for study section service and expert panel service and scientific advisor or membership with the National Institute of Diabetes and Digestive and Kidney Diseases and the editorial boards for JASN, Kidney International, and Pediatric Nephrology.
Comment on
-
Artificial Intelligence Assessment of Renal Scarring (AIRS Study).Kidney360. 2021 Nov 11;3(1):83-90. doi: 10.34067/KID.0003662021. eCollection 2022 Jan 27. Kidney360. 2021. PMID: 35368566 Free PMC article.
References
-
- Bohle A, Mackensen-Haen S, von Gise H, Grund KE, Wehrmann M, Batz C, Bogenschütz O, Schmitt H, Nagy J, Müller C, Müller G: The consequences of tubulo-interstitial changes for renal function in glomerulopathies. A morphometric and cytological analysis. Pathol Res Pract 186: 135–144, 1990. 10.1016/S0344-0338(11)81021-6 - DOI - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
