
The future of artificial intelligence in healthcare is not about machines replacing clinicians. It is about intelligence applied with intent-strengthening human judgment, reshaping systems, and making care more anticipatory, predictive, and personal to achieve better patient outcomes.
At Cleveland Clinic Abu Dhabi, AI is embedded across patient care, caregiver workflows, research, and system design. That shift from tools to transformation distinguishes leaders from adopters. This patient-first, technology-led approach has established the hospital as a regional benchmark for intelligent healthcare, with Cleveland Clinic Abu Dhabi ranked first in the UAE and GCC for five consecutive years in Newsweek’s World’s Best Smart Hospitals rankings.
Continuity of care
For patients, AI supports continuity of care, from early detection and diagnosis to treatment and long-term monitoring. Cleveland Clinic Abu Dhabi operates the UAE’s largest AI-assisted colonoscopy program. The hospital has performed over 3,000 colonoscopies this year. Across several AI-enabled units, real-time image analysis helps physicians identify polyps and abnormalities earlier, strengthening preventive care on a population scale.
AI is also transforming time-critical care. Advanced imaging and real-time image reconstruction support stroke intervention in appropriate cases, allowing clinicians to move directly to treatment without the need for a separate CT scan. As a Center of Excellence for Stroke, recognized by the Department of Health – Abu Dhabi, Cleveland Clinic Abu Dhabi demonstrates how patient outcomes improve when intelligence is embedded at the point of care.
In oncology, AI enables more personalized care. At the hospital’s Fatima bint Mubarak Center, adaptive radiotherapy applies artificial intelligence and real-time imaging to adjust radiation plans during each session, improving precision while minimizing exposure to healthy tissue, and advancing more responsive cancer care.
For clinicians, the hospital’s AI Accelerator provides a secure foundation for enterprise-wide adoption, supporting decisions, reducing administrative burden, and connecting clinical environments. These platforms include VECTRA, which connects clinical, imaging, and administrative data into an AI-ready ecosystem; Abstrakta, which streamlines chart abstraction; clin-Chat, which helps physicians summarize charts, prepare note outlines, and support treatment planning; clinQuery, which enables natural-language access to governed data; and a generative TumorBoard MDT (Multidisciplinary Team) Agent, which streamlines complex oncology case preparation into structured insights for more informed clinical decisions. Together, they improve access to information, accelerate insights, and strengthen clinical preparation.
Digital surgical environment
In the operating room, Cleveland Clinic Abu Dhabi has become the first hospital in the Middle East to pilot a digital surgical environment that integrates data, imaging, and real-time insights to support collaboration, remote guidance, performance analysis, and surgical training across multiple operating rooms.
Within the hospital, AI enabled virtual patient monitoring adds a continuous layer of intelligence to care delivery. An AI supported audiovisual platform enables continuous patient observation, detects risks such as sudden movement or potential falls, and generates real time alerts for caregiver response. The system enhances clinical oversight while respecting patient privacy.
Beyond clinical settings, AI is helping make the hospital itself more intelligent by forecasting demand, optimizing capacity and resources, and reducing waste to support more efficient, sustainable operations.
Research remains a critical pillar. With the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Cleveland Clinic Abu Dhabi has explored applications connecting AI research with real-world clinical challenges. At Cleveland Clinic Abu Dhabi, AI is a discipline that combines human expertise with intelligent systems to deliver better outcomes, today and at scale.




