Abstract
Artificial Intelligence (AI) has been the subject of many contributions to the lay and professional literature in the past few years. While it may seem that the medical benefits of its use are immense, there may be reasons to consider a degree of caution in this regard. In particular, the clinical value of using algorithms to predict disease should be measured against the cases in which such algorithms are not used. Then, the resultant costs can be measured to show possible clinical benefit of AI. However, it is possible that clinical benefit in this circumstance may not be shown necessarily – and the associated expense may not be worthy of its application.
Keywords
Artificial Intelligence, Machine learning prediction, Postpartum hemorrhage, Shoulder dystocia, Preeclampsia