Artificial intelligence in Saudi otolaryngology research: a scoping review of the current landscape, gaps, and future directions
Background Artificial intelligence (AI) is increasingly used in otolaryngology, but the extent and focus of AI research in Saudi Arabia remain unclear. This scoping review mapped the available evidence and identified key research themes and knowledge gaps. Methods A scoping review was conducted following the PRISMA-ScR guidelines. PubMed/MEDLINE, Scopus, Web of Science, Google Scholar, and the Saudi Medical Journal archive were searched for studies published between January 2019 and April 2026. Eligible studies…
Saudi ENT AI evidence is limited by small or non-Saudi datasets, little external validation, weak AI education, and chatbot answers that were harder to read and less actionable than standards recommend.
The evidence base is small, and the included studies often relied on small or non-Saudi datasets with limited external validation, so the promising performance results cannot yet be treated as clinically validated locally.
Evidence
- Peer-reviewedFrontiers in Surgery2026-10-21
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Truvace Impact Record TRV-2026-2160, v1: “Artificial intelligence in Saudi otolaryngology research: a scoping review of the current landscape, gaps, and future directions.” Truvace, 2026-10-22. /record/TRV-2026-2160 (accessed at citation time). sha256 500402fd88fb4c84…
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