Chronic Kidney Disease

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5 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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A Leakage-Aware Multimodal Evaluation Framework for Early Intraoperative Acute Kidney Injury Prediction
Sep 22, 2026Quang Minh Nguyen, Duc Minh Le, Ho Nhat Minh Nguyen +2Chronic Kidney Disease Leakage
National Economics University, Hanoi, Vietnam
Federated Learning Framework for Privacy-Preserving Kidney Stone Detection
Sep 17, 2026Najiyya Younas, Omar Abdulkader, Yaser Ali Shah +3Federated Learning Yolo26
Department of Computer Science, COMSATS University Islamabad, Attock Campus, Attock 43600, Pakistan · Faculty of Computer Studies, Arab Open University, Riyadh, Saudi Arabia · Department of Artificial Intelligence, Kyungdong University Global, Toseong-myeon 24764, South Korea. +1
Seeing Abnormal from Normal: Glomerular Abnormality in Representations of Normal Renal Morphology
Sep 16, 2026Greta Hasko, Rachit Saluja, Tianyu Shi +11Chronic Kidney Disease Abnormality
Cornell University, Ithaca, NY 14853, USA · Cornell Tech, New York, NY 10044, USA · Sichuan University, Chengdu, 610207, CN +6
Translation of Black-Box Clinical Prediction Models into Standalone Transparent Nomograms: Temporal External Validation in Heart Transplantation
Sep 7, 2026Henry Pigot, Paulo J. G. Lisboa, Sandra Ortega-Martorell +3Clinical Prediction Chronic Kidney Disease
Department of Translational Medicine, Artificial Intelligence and Bioinformatics in Cardiothoracic Sciences Research Unit, Lund University, Lund, Sweden · Artificial Intelligence and Digital Technologies Research Institute, Liverpool John Moores University, Liverpool, UK · Department of Thoracic and Vascular Surgery, Skåne University Hospital, Lund, Sweden
Weakly-supervised Kidney Tumor Classification from CT Scans with Multi-Instance Learning and Anatomical Filtering
Sep 7, 2026Joonas Ariva, Dmytro FishmanMultiple Instance Learning Cancer Detection
University of Tartu, Tartu, Estonia · STACC, Tartu, Estonia · Better Medicine, Tartu, Estonia
LLM4CKD: Large Language Models for Early Stage Chronic Kidney Disease Screening
Sep 3, 2026Muhammad Ashad Kabir, Sirajam MuniraChronic Kidney Disease Screening
School of Computing, Mathematics and Engineering Charles Sturt University NSW, Australia · Department of Computer Science Rensselaer Polytechnic Institute NY, USA
Paired Recipient-based Evaluation of Survival Prediction for Deceased Donor Kidney Transplants
Aug 4, 2026Misaki Matsuura, Mohammadreza Nemati, Dulat Bekbolsynov +2Chronic Kidney Disease Survival Predictions
Department of Computer and Data Sciences Case Western Reserve University Cleveland, OH 44106, USA · Department of Medical Microbiology and Immunology University of Toledo Toledo, OH 43614, USA
XEns-CKD: An Explainable Ensemble-Based Approach for Chronic Kidney Disease Stage Detection
Aug 2, 2026Rehan Ahmad, Gousia Habib, Muhammad Shaban +1Chronic Kidney Disease Echocardiography
SVKM’s, NMIMS, Mukesh Patel School of Technology Management and Engineering, Shirpur, Maharashtra, India. · *2FCAI Fellow University of Helsinki and ELLIS Institute Helsinki, Finland · COER University, Roorkee, India +1
Explainable AI for Chronic Kidney Disease Prediction Using Simulated Federated Learning
Jul 28, 2026Md Zahid Hasan Ontor, Md Al Amin, Anik Dev Nath +1Chronic Kidney Disease Federated Learning
Dept. of Software Engineering, Daffodil International University, Daffodil Smart City (DSC), Birulia, Savar, Dhaka 1216, Bangladesh · Dept. of Electrical & Electronics Engineering, Ahsanullah University of Science & Technology, Tejgaon, Dhaka, Bangladesh · Dept. of Information, Communication & Technology, Mawlana Bhashani Science and Technology University, Santosh, Tangail 1902, Dhaka
VQ-Transplant: Efficient VQ-Module Integration for Pre-trained Visual Tokenizers
Jul 21, 2026Xianghong Fang, Yuan Yuan, Dehan Kong +1Residual Vector Quantization Visual Tokenizers
University of Toronto · 2Boston College · 3Vijil
Countercurrent Multiplier Networks: A Renal-Inspired Iterative Operator with Provably Bounded Fixed-Point Dynamics
Jul 21, 2026Snigdha Chandan KhilarFixed-Point Iteration Chronic Kidney Disease
Independent Researcher
From Many to Meaningful: Feature-Guided Zero-Shot Chronic Kidney Disease Screening Using Large Language Models
Jul 14, 2026Muhammad Ashad Kabir, Sirajam MuniraChronic Kidney Disease Screening
School of Computing, Mathematics and Engineering, Charles Sturt University, NSW, Australia · Department of Computer Science, Rensselaer Polytechnic Institute, NY, USA
Evaluating Reliability in Machine Learning Models for Early Chronic Kidney Disease Prediction: A Systematic Review of Data Leakage and Predictor Stability
Jul 12, 2026Mashrul Hossain, Nafesa Kibria, Fahim ShahriarChronic Kidney Disease Leakage
East West University, Dhaka, Bangladesh
A Unified Model for Highly Accurate ECG-Free Dynamic Coronary Roadmapping Using Spatio-Temporal Transformers
Jul 9, 2026Saahil Islam, Sebastian Piat, Venkatesh N. Murthy +4Catheters Spatio-Temporal Transformers
Pattern Recognition Lab, Friedrich Alexander University, Erlangen, Germany · Digital Technology and Innovation, Siemens Healthineers, Erlangen, Germany · Digital Technology and Innovation, Siemens Healthineers, Princeton, USA
Olfactory-Inspired Sparse Combinatorial Coding for Low-Resource Named Entity Recognition
Jun 20, 2026Bhushan DeshpandeNamed-Entity Recognition Smells
Independent Researcher, India
Cohort-Anchored Foundation Models for Electronic Health Records: From Risk Scores to Auditable Peer Cohorts
Jun 20, 2026Kaiping ZhengMedical World Model Electronic Health Records
National University of Singapore
Multi-Granularity 3D Kidney Lesion Characterization from CT Volumes
Jun 3, 2026Renjie Liang, Zhengkang Fan, Jinqian Pan +4Lesion Chronic Kidney Disease
Department of Health Outcomes and Biomedical Informatics, University of Florida, 2004 Mowry Road, Gainesville, 32611, FL, USA · Department of Biostatistics and Health Data Science, Indiana University School of Medicine, 340 West 10th Street, Indianapolis, 46202, IN, USA · Center of Biomedical Informatics, 1101 W 10th St, Indianapolis, Indianapolis, 46202, IN, USA +1
Aligning Data-Driven Predictors with Allocation: A Decision-Focused Approach to Survival Analysis
Jun 1, 2026Itai Zilberstein, Ioannis Anagnostides, Tuomas SandholmSurvival Predictions Survival Analysis
Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA · Additional affiliations: Strategy Robot, Inc., Strategic Machine, Inc., Optimized Markets, Inc.
From Kellgren-Lawrence to Calcium Pyrophosphate Crystal Deposition: A Soft-Labelling Framework for Knee Osteoarthritis Assessmen
May 27, 2026Francisco Bérchez-Moreno, Riccardo Rosati, Maria Chiara Fiorentino +6Severity Chronic Kidney Disease
Departamento de Ciencia de la Computación e Inteligencia Artificial, Universidad de Córdoba, Córdoba, España · Department of Political Science, Communication, and International Relations, University of Macerata, Macerata, Italy · Department of Innovative Technologies in Medicine & Dentistry, Università degli Studi "G. D’Annunzio" Chieti - Pescara, Chieti, Italy +5
ChronoMedicalWorld: A Medical World Model for Learning Patient Trajectories from Longitudinal Care Data
May 21, 2026Jiangyuan Wang, Xuyong Chen, Junwei He +3Patient Trajectories Medical World Model
Beijing KidneyTec Medical Technology Co., Ltd., Beijing, China
Calibration, Uncertainty Communication, and Deployment Readiness in CKD Risk Prediction: A Framework Evaluation Study
May 20, 2026Michael O. EnioladeChronic Kidney Disease Risk Stratification
University of the Cumberlands
Interpretable Machine Learning for Antepartum Prediction of Pregnancy-Associated Thrombotic Microangiopathy Using Routine Longitudinal Laboratory Data
May 13, 2026Chuanchuan Sun, Zhen Yu, Qin Fan +2Chronic Kidney Disease
Public Health and Preventive Medicine of Peking University School of Public Health, Peking University, Beijing, 100191, China · Department of Nephrology, Peking University International Hospital, Beijing, 102206, China. · National Institute of Health Data Science, Peking University, Beijing, 100191, China. +1
Correcting heterogeneous diagnostic bias when developing clinical prediction models using causal hidden Markov models
May 7, 2026Jose Benitez-Aurioles, Ricardo Silva, Brian McMillan +1Clinical Prediction Chronic Kidney Disease
Division of Informatics, Imaging & Data Sciences, University of Manchester, Manchester, United Kingdom · Department of Statistical Science, UCL, London, United Kingdom · Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, United Kingdom
Dialysis Risk Prediction and Treatment Effect Estimation for AKI patients using Longitudinal Electronic Health Records
Apr 27, 2026Kalyani P. Pande, Evan Yang, Bryan Zhu +3Chronic Kidney Disease Electronic Health Records
Stony Brook University, Stony Brook, NY, USA
Knee-xRAI: An Explainable AI Framework for Automatic Kellgren-Lawrence Grading of Knee Osteoarthritis
Apr 25, 2026Azmul A. Irfan, Nur Ahmad Khatim, Alfan Alfian Irfan +3Xai Digitally Reconstructed Radiographs
Orthopaedic Department, Faculty of Medicine UIN Syarif Hidayatullah Jakarta, Indonesia · Informatics Engineering, Institut Teknologi Sepuluh Nopember, Indonesia · Information Technology, Universitas Muhammadiyah Yogyakarta, Indonesia +1
Causal-Transformer with Adaptive Mutation-Locking for Early Prediction of Acute Kidney Injury
Apr 22, 2026Weizhi Nie, Haolin ChenChronic Kidney Disease Mimic-Iv Datasets
School of Electrical and Information Engineering, Tianjin University
6 Fingers, 1 Kidney: Natural Adversarial Medical Images Reveal Critical Weaknesses of Vision-Language Models
Dec 3, 2025Leon Mayer, Piotr Kalinowski, Caroline Ebersbach +6Medical Vision-Language Models Multimodal Benchmarks
German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Germany. · Medical Faculty, Heidelberg University, Germany. · Faculty of Mathematics and Computer Science, Heidelberg University, Germany. +9
Chronic Kidney Disease Prognosis Prediction Using Transformer
Nov 4, 2025Yohan Lee, Dong Gyun Kang, SeHoon Park +2Chronic Kidney Disease Prognostics
Department of Transdisciplinary Medicine, Seoul National University Hospital, Seoul, South Korea · Department of Computer Science, Georgia Institute of Technology, Atlanta, GA, USA · Department of Nephrology, Seoul National University Hospital, Seoul, South Korea +1

Sep 22, 2026, cs.LGJ/K move · Enter open · S save

A Leakage-Aware Multimodal Evaluation Framework for Early Intraoperative Acute Kidney Injury Prediction

Quang Minh Nguyen, Duc Minh Le, Ho Nhat Minh Nguyen, Thuy Quynh Nguyen+1

National Economics University, Hanoi, Vietnam

Chronic Kidney Disease Leakage Synagent

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Postoperative acute kidney injury (AKI) after major non-cardiac surgery carries substantial morbidity, yet early intraoperative risk stratification remains difficult. In this retrospective cohort study, we propose SynerT, a waveform-only hybrid temporal backbone that combines a causal dilated TCN with a hierarchy of dilated recurrent layers to encode early intraoperative physiologic trajectories for AKI risk prediction. Building on SynerT, we further design two model variants that extend the backbone with structured clinical context: SynerT-MM, a late-fusion multimodal extension that integrates hemodynamic burden summaries and preoperative covariates, and SynerTStack, a leakage-safe stacked ensemble that combines cross-validated predictions from SynerT-MM with strong tabular baselines at the meta-learning stage. All models are evaluated under a strict leakage-aware framework on VitalDB, a high-fidelity perioperative database, with prediction restricted to information available within the first 60 intraoperative minutes. Among 2,413 waveform-usable cases (180 AKI-positive; 7.46% prevalence), SynerT fell well below strong structured-data baselines, demonstrating that waveform-only temporal modeling is insufficient under strict early constraints. SynerTMM recovered discrimination by incorporating hemodynamic burden summaries and preoperative covariates, and SynerT-Stack achieved the best overall performance across AUROC, AUPRC, and F1-max. Cross-fitted Platt recalibration substantially corrected calibration defects in both multimodal variants, and decision-curve analysis confirmed the recalibrated stacked model delivered the strongest net clinical benefit across low-to-intermediate thresholds.

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