Papers Kidney Function
“Kidney Function” 태그가 달린 논문 33편 · 필터 해제
Explainable AI for Chronic Kidney Disease Prediction Using Simulated Federated Learning
Chronic Kidney Disease (CKD), characterized by the gradual loss of kidney function, remains a significant public health challenge. Early detection is crucial for preventing severe complications and enhancing patient outc…
Federated LearningKidney FunctionGenerating Counterfactual Patient Timelines from Real-World Data
Counterfactual simulation - exploring hypothetical consequences under alternative clinical scenarios - holds promise for transformative applications such as personalized medicine and in silico trials. However, it remains…
Kidney FunctionMachine Learning Models for Predicting Smoking-Related Health Decline and Disease Risk
Smoking continues to be a major preventable cause of death worldwide, affecting millions through damage to the heart, metabolism, liver, and kidneys. However, current medical screening methods often miss the early warnin…
Kidney FunctionPerformance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
Kidneys are the filter of the human body. About 10% of the global population is thought to be affected by Chronic Kidney Disease (CKD), which causes kidney function to decline. To protect in danger patients from addition…
Kidney FunctionRobust Kidney Abnormality Segmentation: A Validation Study of an AI-Based Framework
Kidney abnormality segmentation has important potential to enhance the clinical workflow, especially in settings requiring quantitative assessments. Kidney volume could serve as an important biomarker for renal diseases,…
Image SegmentationKidney FunctionMedical Image SegmentationSegmentation+1Testing Causal Explanations: A Case Study for Understanding the Effect of Interventions on Chronic Kidney Disease
Randomized controlled trials (RCTs) are the standard for evaluating the effectiveness of clinical interventions. To address the limitations of RCTs on real-world populations, we developed a methodology that uses a large …
Kidney FunctionUnderstanding eGFR Trajectories and Kidney Function Decline via Large Multimodal Models
The estimated Glomerular Filtration Rate (eGFR) is an essential indicator of kidney function in clinical practice. Although traditional equations and Machine Learning (ML) models using clinical and laboratory data can es…
Kidney FunctionAdaptive Local Binary Pattern: A Novel Feature Descriptor for Enhanced Analysis of Kidney Abnormalities in CT Scan Images using ensemble based Machine Learning Approach
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. Renal failure, marked by a gradual dec…
Kidney FunctionEnhancing Acute Kidney Injury Prediction through Integration of Drug Features in Intensive Care Units
The relationship between acute kidney injury (AKI) prediction and nephrotoxic drugs, or drugs that adversely affect kidney function, is one that has yet to be explored in the critical care setting. One contributing facto…
Injury PredictionKidney FunctionPredictionEmbracing Sex-specific Differences in Engineered Kidney Models for Enhanced Biological Understanding
In vitro models play a crucial role in advancing our understanding of biological processes, disease mechanisms, and developing screening platforms for drug discovery. Kidneys play an instrumental role in transport and el…
Drug DiscoveryKidney FunctionComputational modelling of peritoneal dialysis: an overview
Peritoneal dialysis (PD) is becoming more popular as a result of a rising interest in home dialysis, lower intrusion in social life and longer preservation of residual kidney function. However, PD has several important d…
Kidney FunctionYet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML
Medical applications of machine learning (ML) have experienced a surge in popularity in recent years. The intensive care unit (ICU) is a natural habitat for ML given the abundance of available data from electronic health…
BenchmarkingKidney FunctionNon-invasive urinary bladder volume estimation with artefact-suppressed bio-impedance measurements
Urine output is a vital parameter to gauge kidney health. Current monitoring methods include manually written records, invasive urinary catheterization or ultrasound measurements performed by highly skilled personnel. Ca…
Kidney FunctionMLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine Learning
Head and neck cancers are the fifth most common cancer worldwide, and recently, analysis of Positron Emission Tomography (PET) and Computed Tomography (CT) images has been proposed to identify patients with a prognosis. …
Computed Tomography (CT)Kidney FunctionPrognosisSegmentation+1Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
Kidneys are the filter of the human body. About 10 % of the global population is thought to be affected by Chronic Kidney Disease (CKD), which causes kidney function to decline. To protect in danger patients from additio…
Disease PredictionKidney FunctionMissing ValuesregressionLIT01-196, a Metabolically Stable Apelin-17 Analog, Normalizes Blood Pressure in Hypertensive DOCA-Salt Rats via a NO Synthase-dependent Mechanism
Apelin is a neuro-vasoactive peptide that plays a major role in the control of cardiovascular functions and water balance, but has an in-vivo half-life in the minute range, limiting its therapeutic use. We previously dev…
Kidney FunctionComment on "Water sources and kidney function: investigating chronic kidney disease of unknown etiology in a prospective study", by P. Vlahos et al
Vlahos et al., Ref. 1, NPJ Clean water. 4, 50 (2021) have reported the presence of pesticide contamination above safe levels in a "single time-point analysis" of well water in a region in Sri Lanka where chronic kidney d…
Kidney FunctionHiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
The recent success of machine learning methods applied to time series collected from Intensive Care Units (ICU) exposes the lack of standardized machine learning benchmarks for developing and comparing such methods. Whil…
BIG-bench Machine LearningCirculatory FailureICU MortalityKidney Function+5Mathematical Modeling, In-Human Evaluation and Analysis of Volume Kinetics and Kidney Function after Burn Injury and Resuscitation
Existing burn resuscitation protocols exhibit large variability in treatment efficacy. Hence, they must be further optimized based on comprehensive knowledge of burn pathophysiology. A physics-based mathematical model th…
Kidney FunctionLearning the Regularization in DCE-MR Image Reconstruction for Functional Imaging of Kidneys
Kidney DCE-MRI aims at both qualitative assessment of kidney anatomy and quantitative assessment of kidney function by estimating the tracer kinetic (TK) model parameters. Accurate estimation of TK model parameters requi…
Anatomycompressed sensingImage ReconstructionKidney Function+1