Health AI papers from Gulf states grew from 18 in 2011 to 904 in 2024
Study title: Capacity, Collaboration, and Thematic Structure in Health AI Research Over the Past Decade in the Gulf Cooperation Council: Scientometric Analysis
Researchers used the OpenAlex bibliographic database to count health AI publications affiliated with Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates from 2011 to 2024. Of 112,480 GCC-affiliated AI publications, 3512 met the health AI definition, and most appeared from 2020 onward.
Read the study abstract
Background Health AI investment is accelerating across the Gulf Cooperation Council (GCC), yet the region's health AI research output has never been systematically quantified. National research capacity is a structural precondition for the safe local development and governance of clinical AI, but no scientometric baseline exists for the 6 GCC states. Objective We characterized the volume, growth, collaboration structure, and thematic composition of GCC health AI research and examined whether national output alig…
In brief
The analysis gives the region a first measured baseline for research capacity, which the authors treat as a precondition for safe local development and governance of clinical AI. The study is ecological and bibliometric, so it shows publication patterns and correlations rather than clinical outcomes or the quality of deployed AI systems.
Main points
- Output grew at a compound annual rate of 35.2%, with 86.4% (3034 of 3512) of papers published from 2020 onward.
- Saudi Arabia produced 59.6% of papers, and 81.5% together with the United Arab Emirates; Qatar led per capita at about 136 papers per million people.
- International collaboration appeared in 72.6% of papers versus 4.9% for intra-GCC collaboration.
- Absolute output correlated with the Health Informatics Readiness Index (ρ=+0.89) and with Global Digital Health Monitor phase (ρ=+0.83).
The gain
Health AI publications affiliated with GCC states rose from 18 in 2011 to 904 in 2024, building research capacity that is linked to informatics readiness.
The rundown
Eligible papers had to include both an AI concept and a health or medicine concept above a 0.30 relevance threshold. The authors computed output, growth, per capita intensity, citation impact, collaboration, and institutional concentration, and built coauthorship and concept networks.
Work was spread across 3186 institutions, but concentration varied: the top 3 institutions accounted for 89.4% of Qatar's output versus 34.4% for Saudi Arabia. The main external partners were India, the United States, Pakistan, the United Kingdom, and Egypt.
Concept co-occurrence grouped the research into four themes: classic machine learning clinical prediction, medical imaging and oncology, COVID-19 response, and diabetic eye disease. The authors conclude the field is concentrated in medical imaging and offers a reproducible baseline as GCC health systems move toward clinical AI deployment.
Sources
- Peer-reviewedJMIR Medical Informatics2026-10-21
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The debate