ea0086p275 | Reproductive Endocrinology | SFEBES2022
Alhamwi Toulin
, Abbara Ali
, Hanassab Simon
, Comninos Alexander
, Kelsey Tom
, Salim Rehan
, Heinis Thomas
, Dhillo Waljit
Background: Infertility affects 1 in 6 couples causing devastating psychological impact. In vitro fertilisation (IVF) treatment can aid couples to conceive, but personalisation of treatment is needed to optimise patient outcomes. Machine learning can aid in the analysis of large complex datasets such as those encountered during IVF treatment. One example is in determining the optimal follicle size on the day of trigger to maximise the number of oocytes collected. Both follicle...