Revolutionizing Neonatal and Perinatal Care: Harnessing Artificial Intelligence, Deep Learning, and Neural Networks for Predictive Diagnostics and Improved Infant Health Outcomes

Abstract

Both artificial intelligence, in partnership with the machine and deep learning, and the concepts embraced by neural networks bring notable benefits to neonatal and perinatal care. They are of particular value in situations and conditions demanding immediate action. Insofar as the training and validation of such artificial systems can make use of clinical and other medical records, the accumulated storage is also of considerable importance for an affiliation. The resulting depth of information afforded by these artificial systems can show up and make the best use of many hidden properties revealed through the process and analysis that might otherwise have been missed, in turn providing the physician with access to more extensive and conformant information that may be provided by the time pressure constraints that so often accompany medical diagnostics. Key benefits and particular advances stem from the ability to confront important problems in neonatal and perinatal care, alerting physicians to potential complications, and then quickly and directly indicating appropriate steps to be taken. These advantages can be applied to neonates in the delivery room, neonates in the neonatal intensive care unit, and neonates who grow up to become young children and continue to experience major health problems, primarily due to acquired diseases. Application across this wide age range demonstrates the true potential of these advanced digital technologies for neonatal and perinatal care.