AIMC Topic: Kidney Diseases

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Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project.

Nature reviews. Nephrology Sep 16, 2020
An important need exists to better understand and stratify kidney disease according to its underlying pathophysiology in order to develop more precise and effective therapeutic agents. National collaborative efforts such as the Kidney Precision Medic...
Kidney Diseases Biological Ontologies Atlases as Topic Humans Phenotype Precision Medicine Big Data
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Evaluation of the Classification Accuracy of the Kidney Biopsy Direct Immunofluorescence through Convolutional Neural Networks.

Clinical journal of the American Society of Nephrology : CJASN Sep 16, 2020
BACKGROUND AND OBJECTIVES: Immunohistopathology is an essential technique in the diagnostic workflow of a kidney biopsy. Deep learning is an effective tool in the elaboration of medical imaging. We wanted to evaluate the role of a convolutional neura...
Humans Neural Networks, Computer Female Aged Image Processing, Computer-Assisted Kidney Kidney Diseases Area Under Curve Adult Male Middle Aged ROC Curve Immunoglobulin lambda-Chains Complement C3 Fluorescent Antibody Technique, Direct Complement C1q Biopsy Immunoglobulin kappa-Chains Fibrinogen Immunoglobulins
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Prognostic importance of Kidney, Heart and Interstitial lung diseases (KHI triad) in PH: A machine learning study.

Archives of cardiovascular diseases Sep 2, 2020
BACKGROUND: Pulmonary hypertension (PH) is a heterogeneous, severe and progressive disease with an impact on quality of life and life-expectancy despite specific therapies.
Middle Aged Humans Data Mining Machine Learning Risk Assessment Heart Diseases Prospective Studies Phenotype Comorbidity France Aged Prognosis Health Status Pulmonary Arterial Hypertension Aged, 80 and over Cluster Analysis Female Male Risk Factors Kidney Diseases Registries Lung Diseases, Interstitial
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Robot-assisted laparoscopic unroofing and fulguration of sequestered caliceal diverticula cluster.

Journal of pediatric urology Aug 20, 2020
INTRODUCTION: We report a rare case of four sequestered caliceal diverticula that failed previous percutaneous sclerotherapy and were subsequently managed with robot-assisted laparoscopic unroofing and fulguration of the sequestered diverticula clust...
Robotics Laparoscopy Diverticulum Kidney Calices Female Child, Preschool Child Kidney Diseases Humans
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Identification of glomerular lesions and intrinsic glomerular cell types in kidney diseases via deep learning.

The Journal of pathology Jul 7, 2020
Identification of glomerular lesions and structures is a key point for pathological diagnosis, treatment instructions, and prognosis evaluation in kidney diseases. These time-consuming tasks require a more accurate and reproducible quantitative analy...
Mesangial Cells Podocytes Female Adult Male Humans Deep Learning Diagnosis, Computer-Assisted Kidney Diseases Kidney Glomerulus Glomerulonephritis, IGA Neural Networks, Computer
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Inspection of visible components in urine based on deep learning.

Medical physics May 14, 2020
PURPOSE: Urinary particles are particularly important parameters in clinical urinalysis, especially for the diagnosis of nephropathy. Therefore, it is highly important to precisely detect urinary particles in the clinical setting. However, artificial...
Humans Neural Networks, Computer Kidney Diseases Algorithms Microscopy Deep Learning Image Processing, Computer-Assisted
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Role of Artificial Intelligence in Kidney Disease.

International journal of medical sciences Apr 6, 2020
Artificial intelligence (AI), as an advanced science technology, has been widely used in medical fields to promote medical development, mainly applied to early detections, disease diagnoses, and management. Owing to the huge number of patients, kidne...
Anemia Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Kidney Diseases Blood Pressure Artificial Intelligence Kidney Transplantation Prognosis Humans
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Classification of glomerular hypercellularity using convolutional features and support vector machine.

Artificial intelligence in medicine Jan 25, 2020
Glomeruli are histological structures of the kidney cortex formed by interwoven blood capillaries, and are responsible for blood filtration. Glomerular lesions impair kidney filtration capability, leading to protein loss and metabolic waste retention...
Humans Neural Networks, Computer Support Vector Machine Kidney Diseases Kidney Glomerulus
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Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks.

Medical image analysis Nov 8, 2019
It remains challenging to automatically segment kidneys in clinical ultrasound (US) images due to the kidneys' varied shapes and image intensity distributions, although semi-automatic methods have achieved promising performance. In this study, we pro...
Humans Kidney Diseases Neural Networks, Computer Aged, 80 and over Datasets as Topic Female Male Pattern Recognition, Automated Deep Learning Ultrasonography
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Radiologic-Radiomic Machine Learning Models for Differentiation of Benign and Malignant Solid Renal Masses: Comparison With Expert-Level Radiologists.

AJR. American journal of roentgenology Sep 25, 2019
The objective of our study was to compare the performance of radiologicradiomic machine learning (ML) models and expert-level radiologists for differentiation of benign and malignant solid renal masses using contrast-enhanced CT examinations. This ...
Kidney Neoplasms Young Adult Kidney Diseases Adult Middle Aged Humans Tomography, X-Ray Computed Diagnosis, Differential Male Clinical Competence Machine Learning Female Radiology Models, Theoretical Retrospective Studies Aged Magnetic Resonance Imaging Aged, 80 and over
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