aceCapacity, Collaboration, and Thematic Structure in Health AI Research Over the Past Decade in the Gulf Cooperation Council: Scientometric Analysis
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…
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 study is an ecological scientometric analysis, so correlations with readiness indices are associations at the national level, and it covers only 6 countries and publications through 2024.
Evidence
- Peer-reviewedJMIR Medical Informatics2026-10-21
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Truvace Impact Record TRV-2026-2238, v1: “Capacity, Collaboration, and Thematic Structure in Health AI Research Over the Past Decade in the Gulf Cooperation Council: Scientometric Analysis.” Truvace, 2026-10-24. /record/TRV-2026-2238 (accessed at citation time). sha256 e230ec3a20ad34a0…
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