Role of Artificial Intelligence in Kidney Pathology: Promises and Pitfalls-Reference-Cited by-同舟云学术

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Role of Artificial Intelligence in Kidney Pathology: Promises and Pitfalls

Published:2024-06-05 Issue:7 Volume:5 Page:1044-1046
ISSN:2641-7650
Container-title:Kidney360
language:en
Short-container-title:Kidney360

Author:

Goodman Kyle¹^ORCID,Sarullo Kathryn¹^ORCID,Swamidass S. Joshua¹^ORCID,Gaut Joseph P.¹²,Jain Sanjay¹²³^ORCID

Affiliation:

1. Department of Pathology and Immunology, Washington University School of Medicine in St. Louis, St. Louis, Missouri

2. Department of Medicine (Nephrology), Washington University School of Medicine in St. Louis, St. Louis, Missouri

3. Department of Pediatrics, Washington University School of Medicine in St. Louis, St. Louis, Missouri

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

Publisher

Ovid Technologies (Wolters Kluwer Health)

Reference13 articles.

1. Pathology of the nephrotic syndrome in children: a report for the international study of kidney disease in children;Churg;Lancet.,1970

2. Consensus definitions for glomerular lesions by light and electron microscopy: recommendations from a working group of the Renal Pathology Society;Haas;Kidney Int.,2020

3. Automated computational detection of interstitial fibrosis, tubular atrophy, and glomerulosclerosis;Ginley;J Am Soc Nephrol.,2021

4. Deep-learning-driven quantification of interstitial fibrosis in digitized kidney biopsies;Zheng;Am J Pathol.,2021

5. Development and validation of a deep learning model to quantify glomerulosclerosis in kidney biopsy specimens;Marsh;JAMA Netw Open.,2021

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