The thesis attempts to solve a crucial gap in IVF. In this study, the attempt to bring time to pregnancy closer by employing an AI based decision support system to help embryologist in the decision of embryo selection and IVF treatment.<p></p>
Principal supervisor
Beverley VollenhovenAdditional supervisor 1
Fabrizzio HortaAdditional supervisor 2
Hamid RezatofighiAdditional supervisor 3
Sandeep ReddyYear of Award
2025Department, School or Centre
Obstetrics and GynaecologyCampus location
AustraliaCourse
Doctor of PhilosophyDegree Type
DOCTORATEFaculty
Faculty of Medicine, Nursing and Health SciencesRights Statement
The author retains copyright of this thesis. It must only be used for personal non-commercial research, education and study. It must not be used for any other purposes and may not be transmitted or shared with others without prior permission. For further terms use the In Copyright link under the License field.
