Growth, design, size and completion of registered clinical trials of artificial intelligence in dentistry

Leonardo Nunes, Paulo Barbosa and Leonardo Araújo

SAP Artificial Intelligence in Dentistry, 2026

Abstract: Introduction: Artificial intelligence is being introduced into dentistry faster than its clinical-trial evidence base is characterized, and the registry of such trials has not been described. Methods: A cross-sectional cohort was assembled from ClinicalTrials.gov for trials combining an artificial-intelligence term with a dental term, first posted between 2018 and 2026 and carrying an explicit artificial-intelligence term in their title. Four hypotheses were tested with exact binomial tests and Kendall tau. Results: A total of 110 trials were included. Annual registration rose from 0 in 2018 to 54 in 2026 (tau = 0.93; p =

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:cwf:aidart:aid2026155

DOI: 10.62486/aid2026155

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