Vision transformer and explainable transfer learning models for auto detection of kidney cyst, stone and tumor from CT-radiography

MN Islam, M Hasan, MK Hossain, MGR Alam… - Scientific Reports, 2022 - nature.com
Renal failure, a public health concern, and the scarcity of nephrologists around the globe
have necessitated the development of an AI-based system to auto-diagnose kidney …

Multi-class kidney abnormalities detecting novel system through computed tomography

SD Pande, R Agarwal - IEEE Access, 2024 - ieeexplore.ieee.org
Impaired renal function poses a risk across all age groups. Because of the global shortage
of nephrologists, the growing public health concern over renal failure, and technological …

Glyphosate and fluoride in high-hardness drinking water are positively associated with chronic kidney disease of unknown etiology (CKDu) in Sri Lanka

JC Ulrich, K Hoffman, T Gunasekara… - … & Technology Letters, 2023 - ACS Publications
Chronic kidney disease of uncertain etiology (CKDu) has emerged as a serious public
health concern in farming communities globally, especially in Sri Lanka with 5%–20% of the …

Digital twin of renal system with CT-radiography for the early diagnosis of chronic kidney diseases

N Sasikaladevi, A Revathi - Biomedical Signal Processing and Control, 2024 - Elsevier
Kidney failure, also called as end-stage renal disease is the final stage of chronic kidney
disease (CKD). Kidney failure cannot be revered and is the life-threatening if left untreated …

Protein Biomarkers in Chronic Kidney Disease in Children—What Do We Know So Far?

A Rybi Szumińska, A Wasilewska… - Journal of Clinical …, 2023 - mdpi.com
Chronic kidney disease (CKD) in children is a major concern of medical care and public
health as it is related to high morbidity and mortality due to progression to end-stage kidney …

[HTML][HTML] An optimized fusion of deep learning models for kidney stone detection from CT images

S Asif, X Zheng, Y Zhu - Journal of King Saud University-Computer and …, 2024 - Elsevier
Accurate diagnosis of kidney disease is crucial, as it is a significant health concern that
demands precise identification for effective and appropriate treatment. Deep learning …

Chronic kidney disease with unknown cause across the global spectrum

CC Nast - Current Opinion in Nephrology and Hypertension, 2023 - journals.lww.com
CKDu is a leading cause of premature death in young-to-middle-aged adults in endemic
regions and has become a public health crisis. Studies are underway to investigate clinical …

The urinary proteome infers dysregulation of mitochondrial, lysosomal, and protein reabsorption processes in chronic kidney disease of unknown etiology (CKDu)

RT Kolli, SC Gunasekara, MW Foster… - American Journal …, 2023 - journals.physiology.org
Chronic kidney disease (CKD) of uncertain etiology (CKDu) is a global health concern
affecting tropical farming communities. CKDu is not associated with typical risk factors (eg …

Adaptive local binary pattern: A novel feature descriptor for enhanced analysis of kidney abnormalities in ct scan images using ensemble based machine learning …

T Hossain, F Sayed, S Islam - arxiv preprint arxiv:2404.14560, 2024 - arxiv.org
The shortage of nephrologists and the growing public health concern over renal failure have
spurred the demand for AI systems capable of autonomously detecting kidney abnormalities …

Science and opinion in decision making: A case study of the food security collapse in Sri Lanka

A Wijerathna‐Yapa, RJ Henry, M Dunn… - Modern …, 2023 - Wiley Online Library
Making decisions related to security, whether at the community, national, or regional level, is
a highly intricate task. This requires a multi‐criteria decision‐making approach that …