Precision prediction of maternal and child outcomes from routine fetal ultrasounds

Research Opportunity
PhD students
Department / Centre
Paediatrics
Location
Royal Children’s Hospital/Murdoch Childrens Research Institute
Primary Supervisor Email Number Webpage
Prof Melissa Wake melissa.wake@mcri.edu.au Personal web page
Co-supervisor Email Number Webpage
A/Prof Joanne Said jsaid@unimelb.edu.au

Summary Precision prediction of maternal and child outcomes from routine fetal ultrasounds

Project Details

Prediction of the great obstetric and newborn syndromes remains frustratingly impossible, resulting in avoidable burden to maternal and child health and health care services. Artificial intelligence could transform the predictive value of routine fetal ultrasounds - if a mega-repository existed combining ultrasounds with well-phenotyped outcomes. This PhD will help develop and capitalise on an internationally-unique statewide consented repository of fetal ultrasounds for Victorian babies born 2021-22 and their mothers, working within the 'Generation Victoria' cohort, its linked datasets and digital 'ePhenome'. The landmark GenV offers immense opportunities to establish a career and leadership in the digital transformation of pregnancy and/or childhood health.



Faculty Research Themes

School Research Themes

Child Health in Medicine



Research Opportunities

PhD students
Students who are interested in joining this project will need to consider their elegibility as well as other requirements before contacting the supervisor of this research

Graduate Research application

Honours application

Key Contact

For further information about this research, please contact a supervisor.

Department / Centre

Paediatrics

Research Node

Royal Children’s Hospital/Murdoch Childrens Research Institute

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