AIMC Topic: Kidney Diseases
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Deep learning prediction of renal anomalies for prenatal ultrasound diagnosis.
Scientific reports
Apr 19, 2024
Deep learning algorithms have demonstrated remarkable potential in clinical diagnostics, particularly in the field of medical imaging. In this study, we investigated the application of deep learning models in early detection of fetal kidney anomalies...
Reproducibility and prognostic ability of chronicity parameters in kidney biopsy - Comprehensive evaluation comparing microscopy and artificial intelligence in digital pathology.
Human pathology
Apr 18, 2024
INTRODUCTION: Semi-quantitative scoring of various parameters in renal biopsy is accepted as an important tool to assess disease activity and prognostication. There are concerns on the impact of interobserver variability in its prognostic utility, ge...
Kidney Transplantation
Prognosis
Female
Humans
Artificial Intelligence
Algorithms
Observer Variation
Polyomavirus Infections
Microscopy
Image Interpretation, Computer-Assisted
Kidney
Glomerular Filtration Rate
Kidney Diseases
Predictive Value of Tests
Biopsy
Fibrosis
Adult
Male
Middle Aged
Reproducibility of Results
Aged
Application of artificial intelligence in the management of patients with renal dysfunction.
Renal failure
Apr 3, 2024
Deep learning-based glomerulus detection and classification with generative morphology augmentation in renal pathology images.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Mar 29, 2024
Glomerulus morphology on renal pathology images provides valuable diagnosis and outcome prediction information. To provide better care, an efficient, standardized, and scalable method is urgently needed to optimize the time-consuming and labor-intens...
Deep learning applications for kidney histology analysis.
Current opinion in nephrology and hypertension
Feb 19, 2024
PURPOSE OF REVIEW: Nephropathology is increasingly incorporating computational methods to enhance research and diagnostic accuracy. The widespread adoption of digital pathology, coupled with advancements in deep learning, will likely transform our pa...
Applicable Machine Learning Model for Predicting Contrast-induced Nephropathy Based on Pre-catheterization Variables.
Internal medicine (Tokyo, Japan)
Feb 1, 2024
A new, deep learning-based method for the analysis of autopsy kidney samples used to study sex differences in glomerular density and size in a forensic population.
International journal of legal medicine
Jan 5, 2024
Artificial intelligence (AI) is increasingly used in forensic anthropology and genetics to identify the victim and the cause of death. The large autopsy samples from persons with traumatic causes of death but without comorbidities also offer possibil...
Microscopic urinary particle detection by different YOLOv5 models with evolutionary genetic algorithm based hyperparameter optimization.
Computers in biology and medicine
Dec 28, 2023
The diagnosis of kidney disease often involves analysing urine sediment particles. Traditionally, urinalysis was performed manually by collecting urine samples and using a centrifuge, which was prone to manual errors and relied on labour-intensive pr...
Artificial intelligence-assisted repurposing of lubiprostone alleviates tubulointerstitial fibrosis.
Translational research : the journal of laboratory and clinical medicine
Aug 2, 2023
Tubulointerstitial fibrosis (TIF) is the most prominent cause which leads to chronic kidney disease (CKD) and end-stage renal failure. Despite extensive research, there have been many clinical trial failures, and there is currently no effective treat...
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