AIMC Topic: Acute Kidney Injury

Clear Filters Showing 11 to 20 of 212 articles

Prediction of acute and chronic kidney diseases during the post-covid-19 pandemic with machine learning models: utilizing national electronic health records in the US.

EBioMedicine Apr 26, 2025
BACKGROUND: COVID-19 has been linked to acute kidney injury (AKI) and chronic kidney disease (CKD), but machine learning (ML) models predicting these risks post-pandemic have been absent. We aimed to use large electronic health records (EHR) and ML a...
COVID-19 Prospective Studies Acute Kidney Injury Electronic Health Records Humans Machine Learning Pandemics Middle Aged Incidence ROC Curve United States Renal Insufficiency, Chronic Female SARS-CoV-2 Aged Male
View on PubMed DOI

Timing of kidney replacement therapy in critically ill patients: A call to shift the paradigm in the era of artificial intelligence.

Science progress Apr 24, 2025
Acute kidney injury (AKI) is a common condition in intensive care units (ICUs) and is associated with high mortality rates, particularly when kidney replacement therapy (KRT) becomes necessary. The optimal timing for initiating KRT remains a subject ...
Critical Illness Intensive Care Units Time Factors Humans Artificial Intelligence Renal Replacement Therapy Acute Kidney Injury
View on PubMed DOI

Association of acute kidney injury with 1-year mortality in granulomatosis with polyangiitis patients: a cohort study using mediation analyses and machine learning.

Rheumatology international Apr 23, 2025
To investigate the correlation between acute kidney injury (AKI) and 1-year mortality in patients with granulomatosis with polyangiitis (GPA). Clinical data for GPA patients were extracted from the MIMIC-IV (version 3.0) database. Logistic and Cox re...
Middle Aged Granulomatosis with Polyangiitis Risk Factors Aged Adult Male Humans Machine Learning Retrospective Studies Acute Kidney Injury Female
View on PubMed DOI

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation.

Journal of medical Internet research Apr 9, 2025
BACKGROUND: Postoperative acute kidney injury (AKI) is a significant risk associated with surgeries under general anesthesia, often leading to increased mortality and morbidity. Existing predictive models for postoperative AKI are usually limited to ...
Humans Neural Networks, Computer Republic of Korea Female Risk Factors Aged Male Machine Learning Algorithms Retrospective Studies Acute Kidney Injury Middle Aged Risk Assessment Postoperative Complications ROC Curve
View on PubMed DOI

Risk prediction for acute kidney disease and adverse outcomes in patients with chronic obstructive pulmonary disease: an interpretable machine learning approach.

Renal failure Apr 7, 2025
BACKGROUND: Little is known about acute kidney injury (AKI) and acute kidney disease (AKD) in patients with chronic obstructive pulmonary disease (COPD) and COPD mortality based on the acute/subacute renal injury. This study develops machine learning...
Creatinine Female Risk Factors Aged Aged, 80 and over Humans Middle Aged Machine Learning Risk Assessment Prognosis Incidence Acute Kidney Injury Pulmonary Disease, Chronic Obstructive Male
View on PubMed DOI

Machine learning for risk prediction of acute kidney injury in patients with diabetes mellitus combined with heart failure during hospitalization.

Scientific reports Mar 28, 2025
This study aimed to develop a machine learning (ML) model for predicting the risk of acute kidney injury (AKI) in diabetic patients with heart failure (HF) during hospitalization. Using data from 1,457 patients in the MIMIC-IV database, the study ide...
Aged Male Middle Aged Risk Assessment Diabetes Mellitus Humans Acute Kidney Injury Machine Learning Heart Failure Female Algorithms Risk Factors Prognosis Hospitalization
View on PubMed DOI

Construction of a machine learning-based interpretable prediction model for acute kidney injury in hospitalized patients.

Scientific reports Mar 18, 2025
In this observational study, we used data from 59,936 hospitalized adults to construct a model. For the models constructed with all 53 variables, all five models achieved acceptable performance with the validation cohort, with the extreme gradient bo...
Aged Adult Humans Acute Kidney Injury Male Support Vector Machine Machine Learning Female Middle Aged Area Under Curve Risk Factors Hospitalization
View on PubMed DOI

Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective Study.

Journal of medical Internet research Mar 18, 2025
BACKGROUND: Most artificial intelligence-based research on acute kidney injury (AKI) prediction has focused on intensive care unit settings, limiting their generalizability to general wards. The lack of standardized AKI definitions and reliance on in...
Male Retrospective Studies Middle Aged Acute Kidney Injury Creatinine Republic of Korea Humans Female Machine Learning Aged
View on PubMed DOI

Deep learning for the prediction of acute kidney injury after coronary angiography and intervention in patients with chronic kidney disease: a model development and validation study.

Renal failure Mar 13, 2025
BACKGROUND: Patients with chronic kidney disease (CKD) are considered the primary population at risk for post-contrast acute kidney injury (PC-AKI), yet there are few predictive tools specifically designed for this vulnerable population.
Aged Male Middle Aged Risk Assessment Renal Insufficiency, Chronic Contrast Media Predictive Value of Tests Deep Learning ROC Curve Retrospective Studies Acute Kidney Injury Female Risk Factors Coronary Angiography Humans Percutaneous Coronary Intervention
View on PubMed DOI

Contrast-Induced Acute Kidney Injury in Lower Limb Percutaneous Transluminal Angioplasty: A Machine Learning Approach for Preoperative Risk Prediction.

Annals of vascular surgery Mar 11, 2025
BACKGROUND: Contrast-induced acute kidney injury (CI-AKI) is a common complication of lower limb percutaneous transluminal angioplasty (PTA). Common risk models are based on cardiology cohorts for percutaneous coronary intervention. They include a mi...
Lower Extremity Peripheral Arterial Disease Predictive Value of Tests Angioplasty Reproducibility of Results Risk Factors Aged Male Treatment Outcome Glomerular Filtration Rate Contrast Media Middle Aged Risk Assessment Decision Support Techniques Retrospective Studies Humans Acute Kidney Injury Machine Learning Female
View on PubMed DOI
Popular Topics
Recent Journals