Qatar

ABOUT

The ‘FADA: Fetal Abnormality Detection Algorithm’ project is an 18-month project led by the research team at the Hamad Bin Khalifa University (HBKU) in Qatar, supported by the Global Health Institute (GHI) at the American University of Beirut (AUB), funded by the Canadian International Development Research Centre (IDRC) and the UK International Development (FCDO). This project aims to revolutionize prenatal healthcare across the Middle East and North Africa (MENA) region through leveraging artificial intelligence (AI) to transform the standard 2D ultrasound scans into comprehensive 3D images that can offer a complete picture of the fetus.

OBJECTIVES

Enhance the diagnostic capabilities of healthcare professionals using AI-assisted decision-making

Support more accurate and timely detection of potential fetal anomalies

Improve health outcomes for both the mother and the baby

THE TEAM

Dr. Mahmoud Alzubaidi, PhD, MSc

Post Doc Fellow (Lead Principal Investigator)
Hamad Bin Khalifa University, Qatar

Dr. Mowafa Househ, PhD, MSc

Professor
Hamad Bin Khalifa University, Qatar

Dr. Marco Agus, PhD, MSc

Professor
Hamad Bin Khalifa University, Qatar

Mr. Uzair Shah, MSc

AI expert
Hamad Bin Khalifa University, Qatar

Mr. Elyas Al-Amri, BSc

Software Developer
Hamad Bin Khalifa University, Qatar

Thematic Areas

Improving Sexual, Reproductive, and Maternal Health (SRMH) outcomes

Enhancing access to and quality of Sexual, Reproductive, and Maternal Health (SRMH) services in primary healthcare settings

Enhancing the professional development and building the capacity of healthcare providers (HCPs) in areas related to Sexual, Reproductive, and Maternal Health (SRMH)

This project is supported by the GHAIN MENA hub and funded by IDRC and FCDO.