Machine learning algorithms are increasingly being used to analyze complex datasets in neonatal care. These applications include the prediction of neonatal sepsis, monitoring of vital signs, and the early detection of neurological disorders. By leveraging the power of ML, clinicians can make more informed decisions, leading to improved outcomes for neonates.
