Artificial Intelligence

AI-powered ultrasound poised to revolutionize maternal healthcare in low-income countries

Pre-eclampsia, which is a serious pregnancy complication, continues to be a leading cause of maternal death worldwide, with over 90% occurring in low- and middle-income countries (LMICs). A critical component in managing and preventing pre-eclampsia is accurate gestational age assessment, a vital process that has been affected by limited access to ultrasound technology in many of these regions.

Advancing AI research in Obstetrics and Gynecology field at FHS

The Faculty of Health Sciences (FHS) hosted a delegation from Edan, a respectable medical equipment manufacturing company from China, for talks on a groundbreaking collaboration in setting up of an Obstetric ultrasound training center.

The delegation led by Mr. PK Lau, underscored the need of setting up of the innovative center that purposes to increase skilled personnel in the obstetric field so as to reduce maternal neo-natal mortality rate.