[HTML][HTML] Current progress in artificial intelligence-assisted medical image analysis for chronic kidney disease: A literature review

D Zhao, W Wang, T Tang, YY Zhang, C Yu - Computational and Structural …, 2023 - Elsevier
Chronic kidney disease (CKD) causes irreversible damage to kidney structure and function.
Arising from various etiologies, risk factors for CKD include hypertension and diabetes. With …

Automation of the kidney function prediction and classification through ultrasound-based kidney imaging using deep learning

CC Kuo, CM Chang, KT Liu, WK Lin, HY Chiang… - NPJ digital …, 2019 - nature.com
Prediction of kidney function and chronic kidney disease (CKD) through kidney ultrasound
imaging has long been considered desirable in clinical practice because of its safety …

Ultrasound elastography in chronic kidney disease: a systematic review and meta-analysis

M Ce, PF Felisaz, M Ali, GV Re Sarto… - Journal of Medical …, 2023 - Springer
Ultrasound elastography (USE) is a noninvasive technique for assessing tissue elasticity,
and its application in nephrology has aroused growing interest in recent years. The purpose …

Clinical decision support system to predict chronic kidney disease: A fuzzy expert system approach

F Hamedan, A Orooji, H Sanadgol… - International journal of …, 2020 - Elsevier
Background and objectives Diagnosis and early intervention of chronic kidney disease are
essential to prevent loss of kidney function and a large amount of financial resources. To this …

Renal resistive index in chronic kidney disease patients: Possible determinants and risk profile

M Provenzano, L Rivoli, C Garofalo, T Faga, E Pelagi… - PLoS …, 2020 - journals.plos.org
Background High ultrasound renal resistive index (RI) predicts poor cardiorenal outcomes in
chronic kidney disease (CKD) and has recently emerged as a marker of nephroprotective …

Data augmentation based on generative adversarial networks to improve stage classification of chronic kidney disease

YT Liao, CH Lee, KS Chen, CP Chen, TW Pai - Applied Sciences, 2021 - mdpi.com
The prevalence of chronic kidney disease (CKD) is estimated to be 13.4% worldwide and
15% in the United States. CKD has been recognized as a leading public health problem …

How ultrasound can be useful for staging chronic kidney disease in dogs: ultrasound findings in 855 cases

F Perondi, I Lippi, V Marchetti, B Bruno, A Borrelli… - Veterinary …, 2020 - mdpi.com
In patients affected by chronic kidney disease (CKD), some ultrasonographic (US)
abnormalities have been shown to correlate better than others with the progression of the …

Technology trends and applications of deep learning in ultrasonography: image quality enhancement, diagnostic support, and improving workflow efficiency

J Yi, HK Kang, JH Kwon, KS Kim, MH Park… - …, 2020 - pmc.ncbi.nlm.nih.gov
In this review of the most recent applications of deep learning to ultrasound imaging, the
architectures of deep learning networks are briefly explained for the medical imaging …

The old becomes new: advances in imaging techniques to assess nephron mass in children

MJ DeFreitas, CP Katsoufis, JC Infante, ML Granda… - Pediatric …, 2021 - Springer
Renal imaging is widely used in the assessment of surrogate markers of nephron mass
correlated to renal function. Autopsy studies have tested the validity of various imaging …

Comparison of shear wave elastography and conventional ultrasound in assessing kidney function as measured using 51Cr-ethylenediaminetetraacetic acid and …

SS Leong, JHD Wong, MNM Shah… - Ultrasound in medicine …, 2019 - Elsevier
The purpose of this study was to assess the potential of shear wave elastography (SWE) as
an indicator of abnormal kidney function defined by radiolabeled glomerular filtration rate …