AIMC Topic: Creatinine
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Predictive models of sepsis-associated acute kidney injury based on machine learning: a scoping review.
Renal failure
Jul 31, 2024
BACKGROUND: With the development of artificial intelligence, the application of machine learning to develop predictive models for sepsis-associated acute kidney injury has made potential breakthroughs in early identification, grading, diagnosis, and ...
Prediction of post-donation renal function using machine learning techniques and conventional regression models in living kidney donors.
Journal of nephrology
Jul 29, 2024
BACKGROUND: Accurate prediction of renal function following kidney donation and careful selection of living donors are essential for living-kidney donation programs. We aimed to develop a prediction model for post-donation renal function following li...
Creatinine clearance in critically ill adults: prospective comparison of prediction by intensive care unit physicians and machine learning models.
Intensive care medicine
Jul 24, 2024
Application of Proteomics and Machine Learning Methods to Study the Pathogenesis of Diabetic Nephropathy and Screen Urinary Biomarkers.
Journal of proteome research
Jul 1, 2024
Diabetic nephropathy (DN) has become the main cause of end-stage renal disease worldwide, causing significant health problems. Early diagnosis of the disease is quite inadequate. To screen urine biomarkers of DN and explore its potential mechanism, t...
Predicting kidney allograft survival with explainable machine learning.
Transplant immunology
May 24, 2024
INTRODUCTION: Despite significant progress over the last decades in the survival of kidney allografts, several risk factors remain contributing to worsening kidney function or even loss of transplants. We aimed to evaluate a new machine learning meth...
Machine Learning-Based Mortality Prediction in Chronic Kidney Disease among Heart Failure Patients: Insights and Outcomes from the Jordanian Heart Failure Registry.
Medicina (Kaunas, Lithuania)
May 19, 2024
Heart failure (HF) is a prevalent and debilitating condition that imposes a significant burden on healthcare systems and adversely affects the quality of life of patients worldwide. Comorbidities such as chronic kidney disease (CKD), arterial hypert...
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 ...
UroAngel: a single-kidney function prediction system based on computed tomography urography using deep learning.
World journal of urology
Apr 16, 2024
BACKGROUND: Accurate estimation of the glomerular filtration rate (GFR) is clinically crucial for determining the status of obstruction, developing treatment strategies, and predicting prognosis in obstructive nephropathy (ON). We aimed to develop a ...
Response accuracy of ChatGPT 3.5 Copilot and Gemini in interpreting biochemical laboratory data a pilot study.
Scientific reports
Apr 8, 2024
With the release of ChatGPT at the end of 2022, a new era of thinking and technology use has begun. Artificial intelligence models (AIs) like Gemini (Bard), Copilot (Bing), and ChatGPT-3.5 have the potential to impact every aspect of our lives, inclu...
The correlation between serum creatinine and burn severity and its predictive value.
Cellular and molecular biology (Noisy-le-Grand, France)
Dec 31, 2023
This study aimed to explore the correlation between serum creatinine and burn severity and the value of predicting the outcome of patients. For this purpose, a total of 268 burn patients (BUP) were collected. According to the burn area, they were div...
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