Detect, Screen Jaundice Non-Invasively, Accurately with AI
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Detect, Screen Jaundice Non-Invasively, Accurately with AI
Methods for Predicting at Least One of the Total Serum Bilirubin Level and the Hemoglobin Level by Using AI and Non-Invasive Measurement
Tags: National Cheng Kung University, Taiwan, Healthcare & Lifesciences
The new bilirubin detection system developed improves neonatal jaundice screening, particularly in premature and colored newborns where current devices fall short. The system uses machine learning to process bilirubin and other vital parameters, enhancing accuracy. It significantly correlates with serum bilirubin levels compared to commercially available devices. This technology allows for precise, non-invasive screening of neonatal jaundice. Applications include neonatal healthcare and early disease monitoring.
IP Type or Form Factor: Patent Granted; Device; Software & Algorithm
TRL: Not specified
Industry or Tech Area: Medical Devices; Diagnostics & Screening
