MBZUAI researchers led by Dr. Mohammad Yaqub are developing AI algorithms for real-time medical diagnoses, including tools for multiple sclerosis and congenital heart disease. The team developed ScanNav, an AI fetal anomaly assessment system licensed by GE Healthcare for Voluson SWIFT ultrasound machines. ScanNav assists doctors during anomaly scans after 20 weeks of gestation to check for conditions like heart issues and spina bifida. Why it matters: This research has the potential to significantly improve the speed and accuracy of medical diagnoses in the UAE and beyond, addressing critical gaps in healthcare.
MBZUAI is developing AI algorithms to intelligently process data from wearables and home sensors for remote patient monitoring. The algorithms aim to analyze multiple strands of health data to provide a more comprehensive view of a patient's health, distinguishing between genuine emergencies and benign situations. MBZUAI's provost, Professor Fakhri Karray, believes this approach could handle 20-25% of diagnoses virtually, reducing the burden on healthcare systems. Why it matters: This research could significantly improve healthcare efficiency and accessibility in the UAE and beyond by enabling more effective remote patient monitoring and reducing unnecessary hospital visits.
MBZUAI and Abu Dhabi Health Services Company (SEHA) are collaborating to develop AI algorithms to predict heart attacks months in advance with 87% accuracy using ultrasound images. The project aims to preemptively predict heart attacks in the short and long term, addressing the high rates of cardiac arrest, especially in the Middle East. A Memorandum of Understanding (MoU) was signed between SEHA and MBZUAI to integrate AI into healthcare. Why it matters: This partnership could significantly improve healthcare outcomes in the region by leveraging AI to proactively address heart disease, a leading cause of death.
The Abu Dhabi Department of Health (DoH) has partnered with MBZUAI and Core42 to launch the Global AI Healthcare Academy. The academy will provide AI training to healthcare workers in Abu Dhabi, aiming to improve diagnostics, operational efficiency, and patient care. The initiative includes mass training sessions for up to 100 attendees and customized courses in areas like AI for radiology and cardiology. Why it matters: This partnership signals a strategic push to integrate AI into Abu Dhabi's healthcare system, potentially establishing the emirate as a leader in technology-driven healthcare.
MBZUAI and the Department of Health – Abu Dhabi (DoH) have signed an agreement to collaborate on AI research across genomics, precision medicine, robotics, and AI-powered diagnostics. Signed on October 13, 2025, the MoU aims to drive breakthroughs in disease prevention, early detection, and therapeutics. The partnership seeks to translate AI research into tangible improvements in patient care within Abu Dhabi and beyond. Why it matters: This partnership signifies a major push to establish Abu Dhabi as a leader in biomedical research and AI-driven healthcare innovation.