Dascena introduced new machine learning diagnostic algorithm to predict Acute Kidney Injury (AKI). The new algorithm uses cloud-based machine learning algorithm for the early detection of AKI.
The new algorithm makes patients vital sign data analyse easily and identifies whether a patient is at risk of developing acute kidney injury. The algorithm can predict AKI in patients a day before patients meet the clinical criteria for diagnosis. The algorithm indicates higher sensitivity and predictive value in validation studies compared to clinician’s assessment that relied on clinical criteria.
AKI is a disease which when not detected early would result in serious outcomes affecting hospitalised individuals. A major threat in the kidney injuries is that the linical criteria for recognition are markers of established kidney damage or impaired function. By predicting whether a patient is likely to succumb to AKI before symptoms present, treatment outcomes could be improved.
The new technology approved by FDA, enables physicians with ample time to intervene and prevent the occurrence of long-term kidney injury in patients.
