AIMC Topic: Kidney Diseases

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Multi-level feature fusion network for kidney disease detection.

Computers in biology and medicine Jun 1, 2025
Kidney irregularities pose a significant public health challenge, often leading to severe complications, yet the limited availability of nephrologists makes early detection costly and time-consuming. To address this issue, we propose a deep learning ...
Tomography, X-Ray Computed Deep Learning Kidney Diseases Humans Databases, Factual
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Ethical considerations on the use of big data and artificial intelligence in kidney research from the ERA ethics committee.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association Feb 28, 2025
In the current paper, we will focus on requirements to ensure big data can advance the outcomes of our patients suffering from kidney disease. The associated ethical question is whether and how we as a nephrology community can and should encourage th...
Big Data Kidney Diseases Nephrology Humans Artificial Intelligence Biomedical Research Ethics Committees
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Integrated multi-omics with machine learning to uncover the intricacies of kidney disease.

Briefings in bioinformatics Jul 25, 2024
The development of omics technologies has driven a profound expansion in the scale of biological data and the increased complexity in internal dimensions, prompting the utilization of machine learning (ML) as a powerful toolkit for extracting knowled...
Machine Learning Genomics Computational Biology Humans Multiomics Proteomics Kidney Diseases
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LLM-based kidney disease diagnostic framework for Pathologists.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Large language models revolutionize the recent paradigm in the medical field and its contributing to various applications, diversified from clinical decision support to information extraction and summarization. The substantial linguistic understandin...
Natural Language Processing Pathologists Humans Kidney Diseases
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Prediction of Vancomycin-Associated Nephrotoxicity Based on the Area under the Concentration-Time Curve of Vancomycin: A Machine Learning Analysis.

Biological & pharmaceutical bulletin Jan 1, 2024
Several machine learning models have been proposed to predict vancomycin (VCM)-associated nephrotoxicity; however, they have notable limitations. Specifically, they do not use the area under the concentration-time curve (AUC) as recommended in the la...
Aged Aged, 80 and over Adult Anti-Bacterial Agents Retrospective Studies Female Area Under Curve Bayes Theorem Drug Monitoring Male Middle Aged Kidney Diseases Humans Machine Learning Vancomycin
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[Application progress of machine learning in kidney disease].

Zhonghua wei zhong bing ji jiu yi xue Dec 1, 2023
Kidney disease affects a large number of people around the world, imposing a significant burden to people's health and life. If early prediction, rapid diagnosis and prognosis prediction of kidney disease can be carried out, the health of patients wi...
Artificial Intelligence Machine Learning Kidney Kidney Diseases Humans
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A Deep Learning-Based Approach for Glomeruli Instance Segmentation from Multistained Renal Biopsy Pathologic Images.

The American journal of pathology Aug 1, 2021
Glomeruli instance segmentation from pathologic images is a fundamental step in the automatic analysis of renal biopsies. Glomerular histologic manifestations vary widely among diseases and cases, and several special staining methods are necessary fo...
Kidney Glomerulus Image Interpretation, Computer-Assisted Kidney Diseases Humans Biopsy Deep Learning Staining and Labeling
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Artificial intelligence with kidney disease: A scoping review with bibliometric analysis, PRISMA-ScR.

Medicine Apr 9, 2021
BACKGROUND: Artificial intelligence (AI) has had a significant impact on our lives and plays many roles in various fields. By analyzing the past 30 years of AI trends in the field of nephrology, using a bibliography, we wanted to know the areas of in...
Bibliometrics Kidney Diseases Nephrology Humans Artificial Intelligence
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Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

The American journal of gastroenterology Feb 1, 2021
INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at a...
Infections Hepatic Encephalopathy Paracentesis Mortality Lactulose beta-Lactams Patient Readmission Gastrointestinal Hemorrhage Proton Pump Inhibitors Gastrointestinal Agents Water-Electrolyte Imbalance Rifaximin Adrenergic beta-Antagonists Severity of Illness Index Kidney Diseases Humans Clinical Decision Rules Cohort Studies Hydrothorax Machine Learning End Stage Liver Disease ROC Curve Ascites Anti-Bacterial Agents Aged Logistic Models Female Male Liver Cirrhosis Reproducibility of Results Middle Aged Support Vector Machine
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Applications of machine learning methods in kidney disease: hope or hype?

Current opinion in nephrology and hypertension May 1, 2020
PURPOSE OF REVIEW: The universal adoption of electronic health records, improvement in technology, and the availability of continuous monitoring has generated large quantities of healthcare data. Machine learning is increasingly adopted by nephrology...
Translational Research, Biomedical Algorithms Kidney Diseases Natural Language Processing Humans Machine Learning
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