AIMC Topic: Acute Kidney Injury

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Development and validation of interpretable machine learning models for predicting AKI risk in patients treated with PD-1/PD-L1: a retrospective study.

BMC medical informatics and decision making Aug 8, 2025
BACKGROUND: Anti-programmed cell death protein 1 (PD-1)/programmed cell death ligand 1 (PD-L1) immunotherapy has revolutionized cancer treatment. However, it can cause immune-related adverse events, including acute kidney injury (AKI). Such adverse e...
Machine Learning Retrospective Studies Acute Kidney Injury Female Humans Risk Assessment Neoplasms Immune Checkpoint Inhibitors Programmed Cell Death 1 Receptor Aged Male Middle Aged
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Development and validation of risk prediction models for acute kidney disease in gout patients: a retrospective study using machine learning.

European journal of medical research Jul 23, 2025
BACKGROUND: Limited research has been conducted on the prevalence of acute kidney injury (AKI) and acute kidney disease (AKD) in gout patients, as well as the impact of these renal complications on patient outcomes. This study aims to develop machine...
Acute Kidney Injury Female Risk Factors Middle Aged Risk Assessment Aged Male Humans Incidence Gout Machine Learning Retrospective Studies
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A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology.

Renal failure Jul 7, 2025
Artificial intelligence (AI) and machine learning (ML) are transforming nephrology by enhancing diagnosis, risk prediction, and treatment optimization for conditions such as acute kidney injury (AKI) and chronic kidney disease (CKD). AI-driven models...
Acute Kidney Injury Reproducibility of Results Renal Insufficiency, Chronic Humans Artificial Intelligence Machine Learning Peer Review, Research Nephrology Nephrologists
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Cellular senescence in renal ischemia-reperfusion injury.

Chinese medical journal Jul 7, 2025
Acute kidney injury (AKI) affects more than 20% of hospitalized patients and is a significant contributor to morbidity and mortality, primarily due to ischemia-reperfusion injury (IRI), which is one of the leading causes of AKI. IRI not only exacerba...
Humans Acute Kidney Injury Animals Kidney Reperfusion Injury Cellular Senescence Senescence-Associated Secretory Phenotype
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GenAI exceeds clinical experts in predicting acute kidney injury following paediatric cardiopulmonary bypass.

Scientific reports Jul 1, 2025
The emergence of large language models (LLMs) opens new horizons to leverage, often unused, information in clinical text. Our study aims to capitalise on this new potential. Specifically, we examine the utility of text embeddings generated by LLMs in...
Female Male Algorithms Humans Child Acute Kidney Injury Postoperative Complications Cardiopulmonary Bypass Electronic Health Records Infant Child, Preschool
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Usability of machine learning algorithms based on electronic health records for the prediction of acute kidney injury and transition to acute kidney disease: A proof of concept study.

PloS one Jul 1, 2025
BACKGROUND: Acute kidney injury (AKI) and acute kidney disease (AKD) are frequent complications of hospitalization, resulting in reduced outcomes and increased cost burden. However, these conditions are only sometimes recognized and promptly treated....
Female Hospitalization Aged Middle Aged Proof of Concept Study Adult Male Retrospective Studies Acute Kidney Injury Electronic Health Records Humans Machine Learning Algorithms
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Renal Dysfunction Across the Spectrum of Cardiogenic Shock: Mechanisms, Clinical Implications, and Therapeutic Strategies.

Current heart failure reports Jun 25, 2025
PURPOSE OF REVIEW: This review aims to elucidate the complex interplay between cardiogenic shock (CS) and renal function, detailing the mechanisms of kidney injury, identifying risk factors, and providing a framework for the diagnosis and management ...
Renal Replacement Therapy Acute Kidney Injury Humans Prognosis Risk Factors Shock, Cardiogenic
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Machine learning model for the prediction of postoperative acute kidney injury (AKI) in neonates undergoing digestive surgery.

Pediatric surgery international Jun 24, 2025
OBJECTIVE: The aim of our study is to determine the main predictors of postoperative AKI in neonates using machine learning models compared with the logistic regression model.
Logistic Models Predictive Value of Tests Digestive System Surgical Procedures Male Postoperative Complications Incidence Humans Female Machine Learning Infant, Newborn Retrospective Studies Risk Factors Acute Kidney Injury
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Exploring the molecular mechanisms of lactylation-related biological functions and immune regulation in sepsis-associated acute kidney injury.

Clinical and experimental medicine Jun 12, 2025
Lactylation, a novel post-translational modification, has been implicated in various pathophysiological processes; however, its role in sepsis-associated acute kidney injury (SA-AKI) remains unclear. This study aimed to investigate the expression pat...
Acute Kidney Injury Gene Expression Profiling Transcriptome Humans Sepsis Gene Regulatory Networks Protein Processing, Post-Translational
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Development and validation of a cardiac surgery-associated acute kidney injury prediction model using the MIMIC-IV database.

PloS one Jun 12, 2025
OBJECTIVE: This study aimed to develop an innovative early prediction model for acute kidney injury (AKI) following cardiac surgery in intensive care unit (ICU) settings, leveraging preoperative and postoperative clinical variables, and to identify k...
Logistic Models Cardiac Surgical Procedures Retrospective Studies Female Humans Acute Kidney Injury Postoperative Complications Male Risk Factors Algorithms ROC Curve Intensive Care Units Middle Aged Aged Databases, Factual
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