Using Artificial Intelligence to Estimate Outcomes in Perinatal Medicine

A combination of tools that include artificial neural networks (ANNs) and case-based reasoning (CBR) allow the development of prediction models that have the potential to help physicians in their tasks of making a diagnosis and deciding on a course of therapy. The models developed by our research group to date predict the occurrence of pre-term births, delivery type, and Apgar score. Future work will include testing the prototypes in a clinical setting. Such systems have the potential to add value to current clinical tools and improve predictions and the management of patients for better clinical outcomes