AIMC Topic: Kidney

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Machine learning analysis of contrast-enhanced ultrasound (CEUS) for the diagnosis of acute graft dysfunction in kidney transplant recipients.

Medical ultrasonography Sep 4, 2024
AIM: The aim of the study was to develop machine learning algorithms (MLA) for diagnosing acute graft dysfunction (AGD) in kidney transplant recipients based on contrast-enhanced ultrasound (CEUS) analysis of the graft.Materials and methods: This pro...
Reproducibility of Results Adult Humans Sensitivity and Specificity Male Machine Learning Kidney Transplantation Contrast Media Prospective Studies Acute Disease Female Image Enhancement Middle Aged Primary Graft Dysfunction Postoperative Complications Ultrasonography Kidney
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Prediction of post-donation renal function using machine learning techniques and conventional regression models in living kidney donors.

Journal of nephrology Jul 29, 2024
BACKGROUND: Accurate prediction of renal function following kidney donation and careful selection of living donors are essential for living-kidney donation programs. We aimed to develop a prediction model for post-donation renal function following li...
Living Donors Creatinine Nephrectomy Female Adult Male Middle Aged Kidney Glomerular Filtration Rate Predictive Value of Tests Humans Machine Learning Kidney Transplantation Retrospective Studies
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Multi-parametric MRI-based machine learning model for prediction of pathological grade of renal injury in a rat kidney cold ischemia-reperfusion injury model.

BMC medical imaging Jul 26, 2024
BACKGROUND: Renal cold ischemia-reperfusion injury (CIRI), a pathological process during kidney transplantation, may result in delayed graft function and negatively impact graft survival and function. There is a lack of an accurate and non-invasive t...
Machine Learning Animals Male Kidney Reperfusion Injury Multiparametric Magnetic Resonance Imaging Rats Magnetic Resonance Imaging Rats, Sprague-Dawley Disease Models, Animal
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Three-dimensional convolutional neural network-based classification of chronic kidney disease severity using kidney MRI.

Scientific reports Jul 9, 2024
A three-dimensional convolutional neural network model was developed to classify the severity of chronic kidney disease (CKD) using magnetic resonance imaging (MRI) Dixon-based T1-weighted in-phase (IP)/opposed-phase (OP)/water-only (WO) imaging. Sev...
Humans Neural Networks, Computer Imaging, Three-Dimensional Kidney Renal Insufficiency, Chronic Male Glomerular Filtration Rate Female Middle Aged Magnetic Resonance Imaging Aged Severity of Illness Index Adult Deep Learning
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Deep learning-enabled classification of kidney allograft rejection on whole slide histopathologic images.

Frontiers in immunology Jul 5, 2024
BACKGROUND: Diagnosis of kidney transplant rejection currently relies on manual histopathological assessment, which is subjective and susceptible to inter-observer variability, leading to limited reproducibility. We aim to develop a deep learning sys...
Deep Learning Kidney Graft Rejection Biopsy Allografts Reproducibility of Results Humans Kidney Transplantation Adult Female Male Middle Aged
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Predicting renal damage in children with IgA vasculitis by machine learning.

Pediatric nephrology (Berlin, Germany) Jun 25, 2024
BACKGROUND: Children with IgA Vasculitis (IgAV) may develop renal complications, which can impact their long-term prognosis. This study aimed to build a machine learning model to predict renal damage in children with IgAV and analyze risk factors for...
Child Kidney IgA Vasculitis Male Adolescent Child, Preschool Prognosis Retrospective Studies Humans Female Machine Learning Risk Factors
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Contrastive Learning vs. Self-Learning vs. Deformable Data Augmentation in Semantic Segmentation of Medical Images.

Journal of imaging informatics in medicine Jun 10, 2024
To develop a robust segmentation model, encoding the underlying features/structures of the input data is essential to discriminate the target structure from the background. To enrich the extracted feature maps, contrastive learning and self-learning ...
Tomography, X-Ray Computed Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Kidney Magnetic Resonance Imaging Hippocampus Humans Semantics
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Role of Artificial Intelligence in Kidney Pathology: Promises and Pitfalls.

Kidney360 Jun 5, 2024
Humans Artificial Intelligence Kidney Kidney Diseases
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First experiences with machine learning predictions of accelerated declining eGFR slope of living kidney donors 3 years after donation.

Journal of nephrology Jun 5, 2024
BACKGROUND: Living kidney donors are screened pre-donation to estimate the risk of end-stage kidney disease (ESKD). We evaluate Machine Learning (ML) to predict the progression of kidney function deterioration over time using the estimated GFR (eGFR)...
Living Donors Kidney Failure, Chronic Nephrectomy Male Middle Aged Kidney Transplantation Time Factors Risk Assessment Humans Female Kidney Disease Progression Machine Learning Risk Factors Glomerular Filtration Rate Adult Predictive Value of Tests
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Development of Convolutional Neural Network to Segment Ultrasound Images of Histotripsy Ablation.

IEEE transactions on bio-medical engineering May 20, 2024
OBJECTIVE: Histotripsy is a focused ultrasound therapy that ablates tissue via the action of bubble clouds. It is under investigation to treat a number of ailments, including renal tumors. Ultrasound imaging is used to monitor histotripsy, though the...
Phantoms, Imaging High-Intensity Focused Ultrasound Ablation Ultrasonography Neural Networks, Computer Image Processing, Computer-Assisted Animals Kidney
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