AKI prediction models

AKI (Acute Kidney Injury) prediction models are tools that analyze patient data—such as lab results, vital signs, and medical history—to estimate the risk of developing kidney problems quickly. These models use algorithms, often based on machine learning, to identify patterns indicating early signs of kidney stress or damage. By predicting AKI early, healthcare providers can intervene sooner, potentially preventing serious complications, improving patient outcomes, and optimizing treatment plans. Essentially, they serve as advanced warning systems to help clinicians catch kidney issues before they become severe.