Computer-Generated R.E.N.A.L. Nephrometry Scores Yield Comparable Predictive Results to Those of Human-Expert Scores in Predicting Oncologic and Perioperative Outcomes-Reference-Cited by-同舟云学术

Computer-Generated R.E.N.A.L. Nephrometry Scores Yield Comparable Predictive Results to Those of Human-Expert Scores in Predicting Oncologic and Perioperative Outcomes

Published:2021-12-30 Issue: Volume: Page:
ISSN:0022-5347
Container-title:Journal of Urology
language:en
Short-container-title:Journal of Urology

Author:

Heller N.¹,Tejpaul R.¹,Isensee F.²,Benidir T.³^ORCID,Hofmann M.³,Blake P.⁴,Rengal Z.⁴,Moore K.⁵,Sathianathen N.⁶,Kalapara A.⁶,Rosenberg J.⁴,Peterson S.⁷,Walczak E.⁴,Kutikov A.⁸,Uzzo R. G.⁸,Palacios D. A.³,Remer E. M.³⁹,Campbell S. C.³,Papanikolopoulos N.¹,Weight Christopher J.³

Affiliation:

1. Department of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota

2. German Cancer Research Center (DKFZ) Heidelberg, University of Heidelberg, Heidelberg, Germany

3. Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio

4. University of Minnesota School of Medicine, Minneapolis, Minnesota

5. Carleton College, Northfield, Minnesota

6. Department of Urology, University of Melbourne, Melbourne, Australia

7. Brigham Young University, Provo, Utah

8. Urology, Fox Chase Cancer Center, Philadelphia, Pennsylvania

9. Department of Diagnostic Radiology, Imaging Institute Cleveland Clinic, Cleveland, Ohio

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Urology

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