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CASE DISCUSSION

AIRH Dialogues with the Changemakers in Healthcare AI- Prof. Immanuel Azzad Moonesar R.D

United Arab Emirates flagPresented United Arab Emirates by Prof. Immanuel Azaad Moonesar R. D.

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Case Description

The integration of artificial intelligence (AI) and digital health into clinical systems across the Eastern Mediterranean is transforming healthcare delivery but also introduces significant challenges that directly impact patient safety. Chief among these is algorithmic bias, as most AI diagnostic...

Case Summary

  • The integration of artificial intelligence and digital health within clinical systems across the Eastern Mediterranean presents a critical balance between rapid innovation and patient safety. A foundational clinical challenge is algorithmic bias, as the majority of artificial intelligence diagnostic and clinical decision support tools are trained on Western, high-income cohorts. These models frequently fail to reflect regional genetic diversity, unique disease profiles, and cultural dietary realities. Without local calibration, deploying these tools introduces diagnostic errors and compromises clinical validity.

Speaker Profile

Prof. Immanuel Azaad Moonesar R. D.

Prof. Immanuel Azaad Moonesar R. D.

Health Policy, Digital Health & AI in Healthcare
Professor Immanuel Azaad Moonesar, PhD, is a globally recognized expert in health policy, digital health transformation, and AI in healthcare. He currently serves as Professor of Health Policy & Systems Research at the Mohammed Bin Rashid School of Government (MBRSG), UAE, where he leads research on healthcare innovation, governance, and emerging technologies. With extensive experience advising governments and healthcare institutions, his work focuses on evidence-based policy, telehealth, big data, and sustainable healthcare systems. He has contributed to multiple international research initiatives and policy frameworks aimed at improving healthcare delivery, particularly in emerging markets. A sought-after speaker, Prof. Moonesar actively engages in global discussions on the future of healthcare, AI governance, and health system strengthening.

Disclosures

Assimilate by Medvarsity requires every individual in a position to control educational content to disclose all financial relationships with ineligible companies that have occurred within the past 24 months. Ineligible companies are organizations whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients. All relevant financial relationships for anyone with the ability to control the content of this educational activity have been reviewed and mitigated. Others involved in the planning of this activity have no relevant financial relationships.