AIMC Topic: Acute Kidney Injury
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Machine learning derived serum creatinine trajectories in acute kidney injury in critically ill patients with sepsis.
Critical care (London, England)
May 10, 2024
BACKGROUND: Current classification for acute kidney injury (AKI) in critically ill patients with sepsis relies only on its severity-measured by maximum creatinine which overlooks inherent complexities and longitudinal evaluation of this heterogenous ...
AKIML: An interpretable machine learning model for predicting acute kidney injury within seven days in critically ill patients based on a prospective cohort study.
Clinica chimica acta; international journal of clinical chemistry
May 1, 2024
BACKGROUND: Early recognition and timely intervention for AKI in critically ill patients were crucial to reduce morbidity and mortality. This study aimed to use biomarkers to construct a optimal machine learning model for early prediction of AKI in c...
Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study.
Journal of medical Internet research
May 1, 2024
BACKGROUND: Acute kidney disease (AKD) affects more than half of critically ill elderly patients with acute kidney injury (AKI), which leads to worse short-term outcomes.
Development of interpretable machine learning models for prediction of acute kidney injury after noncardiac surgery: a retrospective cohort study.
International journal of surgery (London, England)
May 1, 2024
BACKGROUND: Early identification of patients at high-risk of postoperative acute kidney injury (AKI) can facilitate the development of preventive approaches. This study aimed to develop prediction models for postoperative AKI in noncardiac surgery us...
An explainable machine learning model to predict early and late acute kidney injury after major hepatectomy.
HPB : the official journal of the International Hepato Pancreato Biliary Association
Apr 23, 2024
BACKGROUND: Risk assessment models for acute kidney injury (AKI) after major hepatectomy that differentiate between early and late AKI are lacking. This retrospective study aimed to create a model predicting AKI through machine learning and identify ...
Application of interpretable machine learning algorithms to predict acute kidney injury in patients with cerebral infarction in ICU.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Apr 23, 2024
BACKGROUND: Acute kidney injury (AKI) is not only a complication but also a serious threat to patients with cerebral infarction (CI). This study aimed to explore the application of interpretable machine learning algorithms in predicting AKI in patien...
Humans
Machine Learning
Decision Support Techniques
Prognosis
Retrospective Studies
Middle Aged
Predictive Value of Tests
Risk Factors
Risk Assessment
Acute Kidney Injury
Cerebral Infarction
Aged
Intensive Care Units
Diagnosis, Computer-Assisted
Aged, 80 and over
Female
China
Male
Reproducibility of Results
Deep-learning model for evaluating histopathology of acute renal tubular injury.
Scientific reports
Apr 19, 2024
Tubular injury is the most common cause of acute kidney injury. Histopathological diagnosis may help distinguish between the different types of acute kidney injury and aid in treatment. To date, a limited number of study has used deep-learning models...
Machine learning in risk prediction of continuous renal replacement therapy after coronary artery bypass grafting surgery in patients.
Clinical and experimental nephrology
Mar 27, 2024
OBJECTIVES: This study aimed to develop machine learning models for risk prediction of continuous renal replacement therapy (CRRT) following coronary artery bypass grafting (CABG) surgery in intensive care unit (ICU) patients.
[Artificial intelligence and acute kidney injury].
Medizinische Klinik, Intensivmedizin und Notfallmedizin
Feb 23, 2024
Digitalization is increasingly finding its way into intensive care units and with it artificial intelligence (AI) for critically ill patients. One promising area for the use of AI is in the field of acute kidney injury (AKI). The use of AI is primari...
Artificial Intelligence in Heart Failure and Acute Kidney Injury: Emerging Concepts and Controversial Dimensions.
Cardiorenal medicine
Feb 13, 2024
BACKGROUND: The growing complexity of patient data and the intricate relationship between heart failure (HF) and acute kidney injury (AKI) underscore the potential benefits of integrating artificial intelligence (AI) and machine learning into healthc...
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