Team Blitz India
DEPARTMENT of Health – Abu Dhabi (DoH) has signed a memorandum of understanding (MoU) with Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), and Core42, a G42 company offering AI solution, to launch the Global AI Healthcare Academy in the Emirate, reported Emirates News Agency (WAM).
The new Global AI Healthcare Academy will provide an AI-trained workforce capable of advancing diagnostic and operational efficiency, significantly improving patient care, and streamlining healthcare processes, it added.
Signed during Abu Dhabi Global Healthcare Week (ADGHW), reinforcing Abu Dhabi’s position among leading destinations for healthcare and life sciences, the partnership seeks to establish a framework of collaboration to strengthen the Emirate’s position at the forefront of technologyenabled and data-driven healthcare systems.
In the presence of Mansoor Al Mansoori, Chairman of the Department of Health – Abu Dhabi (DoH), Dr. Noura Al Ghaithi, Undersecretary of DoH, and Kiril Evtimov, Group Chief Technology Officer of G42 and Chief Executive Officer of Core42, the MoU was signed by Dr. Rashed Obaid Al Suwaidi, Executive Director of Healthcare Workforce Planning Sector at DoH, Sultan Al Hajji, Vice President of Public Affairs and Alumni Relations at MBZUAI and Talal AlKaissi, Executive Vice President, Chief Product and Global Partnership Officer at Core42.
The academy will encompass research and innovation in its future activities, pushing the boundaries of knowledge, and fostering groundbreaking discoveries. These efforts will encourage public-private partnerships, foster collaboration to secure ample funding and ensure ongoing sustainability, setting the academy for long-term success and supporting responsible and impactful innovation.
In line with Abu Dhabi’s healthcare innovation ambitions, the academy will establish various courses tailored to advancing AI in healthcare. It will also conduct mass training sessions, accommodating up to 100 attendees, for the Abu Dhabi healthcare workforce.
Selected participants from these sessions will have the opportunity to pursue more customised courses based on their specific line of work, covering vital subjects such as AI for radiology, cardiology, and more advanced data analytics and prediction techniques. Tailored educational courses will target C-suite and operational staff as well, on the topics of AI in public health leadership.
