AIMC Topic: Acute Kidney Injury
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Risk Classification and Subphenotyping of Acute Kidney Injury: Concepts and Methodologies.
Seminars in nephrology
Dec 5, 2022
Acute kidney injury (AKI) is a complex syndrome with a paucity of therapeutic development. One aspect that could explain the lack of implementation science in the AKI field is the vast heterogeneity of the AKI syndrome, which hinders precise therapeu...
Impact of Warm Ischemia on Acute Kidney Injury After Robotic Partial Nephrectomy Stratified by Baseline Kidney Function.
Journal of endourology
Dec 2, 2022
To evaluate the differences in baseline chronic kidney disease (CKD) status in correlations between warm ischemic time (WIT) and acute kidney injury (AKI) or acute/chronic renal function change after robot-assisted partial nephrectomy (RAPN). This ...
The promise of artificial intelligence for kidney pathophysiology.
Current opinion in nephrology and hypertension
Jun 10, 2022
PURPOSE OF REVIEW: We seek to determine recent advances in kidney pathophysiology that have been enabled or enhanced by artificial intelligence. We describe some of the challenges in the field as well as future directions.
Oxygen delivery in pediatric cardiac surgery and its association with acute kidney injury using machine learning.
The Journal of thoracic and cardiovascular surgery
Jun 9, 2022
OBJECTIVE: Acute kidney injury (AKI) after pediatric cardiac surgery with cardiopulmonary bypass (CPB) is a frequently reported complication. In this study we aimed to determine the oxygen delivery indexed to body surface area (Doi) threshold associa...
Predicting acute kidney injury following open partial nephrectomy treatment using SAT-pruned explainable machine learning model.
BMC medical informatics and decision making
May 16, 2022
BACKGROUND: One of the most prevalent complications of Partial Nephrectomy (PN) is Acute Kidney Injury (AKI), which could have a negative impact on subsequent renal function and occurs in up to 24.3% of patients undergoing PN. The aim of this study w...
External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients.
Journal of nephrology
May 12, 2022
OBJECTIVES: The purpose of this study was to externally validate algorithms (previously developed and trained in two United States populations) aimed at early detection of severe oliguric AKI (stage 2/3 KDIGO) in intensive care units patients.
Molecular Visualization of Early-Stage Acute Kidney Injury with a DNA Framework Nanodevice.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
May 4, 2022
DNA nanomachines with artificial intelligence have attracted great interest, which may open a new era of precision medicine. However, their in vivo behavior, including early diagnosis and therapeutic effect are limited by their targeting efficiency. ...
Account of Deep Learning-Based Ultrasonic Image Feature in the Diagnosis of Severe Sepsis Complicated with Acute Kidney Injury.
Computational and mathematical methods in medicine
Jan 31, 2022
This study was aimed at analyzing the diagnostic value of convolutional neural network models on account of deep learning for severe sepsis complicated with acute kidney injury and providing an effective theoretical reference for the clinical use of ...
Prediction model of acute kidney injury induced by cisplatin in older adults using a machine learning algorithm.
PloS one
Jan 18, 2022
BACKGROUND: Early detection and prediction of cisplatin-induced acute kidney injury (Cis-AKI) are essential for the management of patients on chemotherapy with cisplatin. This study aimed to evaluate the performance of a prediction model for Cis-AKI.
Machine learning prediction model of acute kidney injury after percutaneous coronary intervention.
Scientific reports
Jan 14, 2022
Acute kidney injury (AKI) after percutaneous coronary intervention (PCI) is associated with a significant risk of morbidity and mortality. The traditional risk model provided by the National Cardiovascular Data Registry (NCDR) is useful for predictin...
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