Research Protocol: Assessing Transparency in Dental AI Research

This research protocol aims to evaluate the transparency of AI research in dental journals by assessing key indicators such as data sharing, code availability, funding and conflict of interest disclosures, and protocol registration. The study addresses the critical need for establishing reproducibility standards and maintaining public trust as AI applications become more integrated into clinical decision-making. Through a cross-sectional, observational design, the protocol will analyze published AI-focused dental research to determine the proportion of studies that include these transparency indicators and identify factors influencing their adoption. The findings will provide insights into current transparency practices and highlight areas for improvement in AI-driven dental research.