RT Journal Article
SR Electronic
T1 Artificial Intelligence in Obstetrics and Gynaecology: Is This the Way Forward?
JF In Vivo
JO In Vivo
FD International Institute of Anticancer Research
SP 1547
OP 1551
DO 10.21873/invivo.11635
VO 33
IS 5
A1 ELIF ILIRIA EMIN
A1 ECE EMIN
A1 APOSTOLOS PAPALOIS
A1 FREDRIC WILLMOTT
A1 SONJI CLARKE
A1 MICHAIL SIDERIS
YR 2019
UL http://iv.iiarjournals.org/content/33/5/1547.abstract
AB 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.