Clinical Implementation of an Artificial Intelligence Algorithm for Magnetic Resonance–Derived Measu...
Clinical Implementation of an Artificial Intelligence Algorithm for Magnetic Resonance–Derived Measurement of Total Kidney Volume
About this item
Full title
Author / Creator
Potretzke, Theodora A. , Korfiatis, Panagiotis , Blezek, Daniel J. , Edwards, Marie E. , Klug, Jason R. , Cook, Cole J. , Gregory, Adriana V. , Harris, Peter C. , Chebib, Fouad T. , Hogan, Marie C. , Torres, Vicente E. , Bolan, Candice W. , Sandrasegaran, Kumaresan , Kawashima, Akira , Collins, Jeremy D. , Takahashi, Naoki , Hartman, Robert P. , Williamson, Eric E. , King, Bernard F. , Callstrom, Matthew R. , Erickson, Bradley J. and Kline, Timothy L.
Publisher
England: Elsevier Inc
Journal title
Language
English
Formats
Publication information
Publisher
England: Elsevier Inc
Subjects
More information
Scope and Contents
Contents
To evaluate the performance of an internally developed and previously validated artificial intelligence (AI) algorithm for magnetic resonance (MR)–derived total kidney volume (TKV) in autosomal dominant polycystic kidney disease (ADPKD) when implemented in clinical practice.
The study included adult patients with ADPKD seen by a nephrologist at...
Alternative Titles
Full title
Clinical Implementation of an Artificial Intelligence Algorithm for Magnetic Resonance–Derived Measurement of Total Kidney Volume
Authors, Artists and Contributors
Author / Creator
Korfiatis, Panagiotis
Blezek, Daniel J.
Edwards, Marie E.
Klug, Jason R.
Cook, Cole J.
Gregory, Adriana V.
Harris, Peter C.
Chebib, Fouad T.
Hogan, Marie C.
Torres, Vicente E.
Bolan, Candice W.
Sandrasegaran, Kumaresan
Kawashima, Akira
Collins, Jeremy D.
Takahashi, Naoki
Hartman, Robert P.
Williamson, Eric E.
King, Bernard F.
Callstrom, Matthew R.
Erickson, Bradley J.
Kline, Timothy L.
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_2809548872
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2809548872
Other Identifiers
ISSN
0025-6196
E-ISSN
1942-5546
DOI
10.1016/j.mayocp.2022.12.019
