Development and Validation of a Deep Learning Model to Quantify Interstitial Fibrosis and Tubular Atrophy From Kidney Ultrasonography Images-Reference-Cited by-同舟云学术

Development and Validation of a Deep Learning Model to Quantify Interstitial Fibrosis and Tubular Atrophy From Kidney Ultrasonography Images

Published:2021-05-24 Issue:5 Volume:4 Page:e2111176
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Athavale Ambarish M.¹,Hart Peter D.¹,Itteera Mathew¹,Cimbaluk David²,Patel Tushar³,Alabkaa Anas²,Arruda Jose⁴,Singh Ashok¹,Rosenberg Avi⁵,Kulkarni Hemant⁶

Affiliation:

1. Division of Nephrology, Department of Medicine, Cook County Health, Chicago, Illinois

2. Department of Pathology, Rush University Medical Center, Chicago, Illinois

3. Department of Pathology, University of Illinois at Chicago, Chicago

4. Division of Nephrology, University of Illinois at Chicago, Chicago

5. Department of Pathology, Johns Hopkins University, Baltimore, Maryland

6. M&H Research, LLC, San Antonio, Texas

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2780063/athavale_2021_oi_210328_1620746964.94738.pdf

Reference33 articles.

1. Changes in the US burden of chronic kidney disease from 2002 to 2016: an analysis of the Global Burden of Disease Study.;Bowe;JAMA Netw Open,2018

2. Relationship between renal function and histological changes found in renal-biopsy specimens from patients with persistent glomerular nephritis.;Risdon;Lancet,1968

3. Tubulointerstitial changes as a major determinant in the progression of renal damage.;Nath;Am J Kidney Dis,1992

4. Prognostic value of tubulointerstitial lesions, urinary N-acetyl-ß-D-glucosaminidase, and urinary ß2-microglobulin in patients with type 2 diabetes and biopsy–proven diabetic nephropathy.;Mise;Clin J Am Soc Nephrol,2016

5. The prognostic value of histopathologic lesions in native kidney biopsy specimens: results from the Boston Kidney Biopsy Cohort Study.;Srivastava;J Am Soc Nephrol,2018

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI models for automated segmentation of engineered polycystic kidney tubules;Scientific Reports;2024-02-03

2. Artificial intelligence for automated identification of total shoulder arthroplasty implants;Journal of Shoulder and Elbow Surgery;2023-10

3. Artificial intelligence-aided ultrasound in renal diseases: a systematic review;Quantitative Imaging in Medicine and Surgery;2023-06

4. Deep learning for pancreatic diseases based on endoscopic ultrasound: A systematic review;International Journal of Medical Informatics;2023-06

5. Face-based age estimation using improved Swin Transformer with attention-based convolution;Frontiers in Neuroscience;2023-04-12