Artificial intelligence in glomerular diseases

In this narrative review, we focus on the application of artificial intelligence in the clinical history of patients with glomerular disease, digital pathology in kidney biopsy, renal ultrasonography imaging, and prediction of chronic kidney disease (CKD). With the development of natural language pr...

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Veröffentlicht in:	Pediatric nephrology (Berlin, West) Jg. 37; H. 11; S. 2533 - 2545
Hauptverfasser:	Schena, Francesco P., Magistroni, Riccardo, Narducci, Fedelucio, Abbrescia, Daniela I., Anelli, Vito W., Di Noia, Tommaso
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2022 Springer Nature B.V
Schlagworte:	Algorithms Artificial intelligence Biopsy Cellular telephones Clinical medicine Computers Deep learning Glomerulonephritis Kidney diseases Learning algorithms Medicine Medicine & Public Health Nephrology Pathology Patients Pediatrics Phenotypes Review Ultrasonic imaging Urology Glomerulonephritis Machine Learning Algorithm Clinical Outcome Deep Learning Algorithm Artificial Intelligence Natural Language Processing
ISSN:	0931-041X, 1432-198X, 1432-198X
Online-Zugang:	Volltext
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