default author photo

Glen James

AstraZeneca Pharmaceuticals - Department of Cardiovascular, Renal and Metabolism Epidemiology (CVRM)

Cambridge

United Kingdom

SCHOLARLY PAPERS

1

DOWNLOADS

323

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Predicting Renal Disease and Associated Complications Through Deep Learning Using Retinal Fundus Images Linked to Clinical Data

Number of pages: 31 Posted: 08 Dec 2021
Glen James, Gayathri Mohankumar, Andrew Cooper, Afrah Siddiqui, Peter Fenici, Luke Markham, Matthew Pigg, Mishal Patel, Graham Morris and Thomas White
AstraZeneca Pharmaceuticals - Department of Cardiovascular, Renal and Metabolism Epidemiology (CVRM), AstraZeneca Pharmaceuticals - Data Science and Artificial Intelligence, AstraZeneca Pharmaceuticals - Department of Cardiovascular, Renal and Metabolism Epidemiology (CVRM), AstraZeneca Pharmaceuticals - Global Medical Affairs, AstraZeneca Pharmaceuticals - Global Medical Affairs, Capgemini Engineering - Hybrid Intelligence, Capgemini Engineering - Hybrid Intelligence, AstraZeneca Pharmaceuticals - Imaging and Data Analytics, Capgemini Engineering - Hybrid Intelligence and AstraZeneca Pharmaceuticals - Data Science and Artificial Intelligence
Downloads 323 (232,746)

Abstract:

Loading...

Chronic kidney disease; artificial intelligence; deep learning; retinal fundus images