TY - JOUR T1 - Artificial Intelligence in Obstetrics and Gynaecology: Is This the Way Forward? JF - In Vivo JO - In Vivo SP - 1547 LP - 1551 DO - 10.21873/invivo.11635 VL - 33 IS - 5 AU - ELIF ILIRIA EMIN AU - ECE EMIN AU - APOSTOLOS PAPALOIS AU - FREDRIC WILLMOTT AU - SONJI CLARKE AU - MICHAIL SIDERIS Y1 - 2019/09/01 UR - http://iv.iiarjournals.org/content/33/5/1547.abstract N2 - An increasing trend in funding towards artificial intelligence (AI) research in medicine has re-animated huge expectations for future applications. Obstetrics and gynaecology remain highly litigious specialities, accounting for a large proportion of indemnity payments due to poor outcomes. Several challenges have to be faced in order to improve current clinical practice in both obstetrics and gynaecology. For instance, a complete understanding of fetal physiology and establishing accurately predictive antepartum and intrapartum monitoring are yet to be achieved. In gynaecology, the complexity of molecular biology results in a lack of understanding of gynaecological cancer, which also contributes to poor outcomes. In this review, we aim to describe some important applications of AI in obstetrics and gynaecology. We also discuss whether AI can lead to a deeper understanding of pathophysiological concepts in obstetrics and gynaecology, allowing delineation of some grey zones, leading to improved healthcare provision. We conclude that AI can be used as a promising tool in obstetrics and gynaecology, as an approach to resolve several longstanding challenges; AI may also be a means to augment knowledge and assist clinicians in decision-making in a variety of areas in obstetrics and gynaecology. ER -