Patient perception of the use of artificial intelligence in dentistry: a systematic review and single-arm meta-analysis

Objective: The aim of this review is to assess patients' knowledge, attitudes, and perceptions (KAP) regarding artificial intelligence (AI) in dentistry, as well as to understand the main concerns associated with its implementation. Methods: An electronic search conducted in seven databases retrieved 4005 articles, of which 12 were selected for full-text reading through a double-blind screening process. Nine met the inclusion criteria, and four additional articles were identified through a citation search. The Joanna Briggs Institute Critical Appraisal Checklist for Analytical Cross-Sectional Studies was used to assess risk of bias, GRADE was used to assess the quality of evidence, and a random-effects meta-analysis was used to quantitatively assess the pooled event rate and pooled mean KAP values using 95% confidence interval. Results: The overall risk of bias of the studies was as follows: low (8), moderate (2), and high (3), and most studies were classified as low-quality evidence according to GRADE. High heterogeneity values were found across various outcomes, but most indicated the same tendencies of acceptance or disagreement with the statements. However, for knowledge/awareness scores, some studies had very high values and others very low, indicating variance in knowledge across the populations analyzed. Few results with low heterogeneity were found. Conclusions: The results suggest that participants value the dentist's work and would welcome AI as a supportive tool. Concerns remain regarding the risk of overreliance on AI and issues of trust, ethics, and privacy. Further research on patient opinions regarding the use of AI in dentistry is encouraged.