Artificial Intelligence in Orthodontic Bracket Placement: A Comparative Review of Digital Indirect Bonding Systems

Background Artificial Intelligence (AI) is rapidly transforming orthodontic workflows, particularly in the domain of bracket planning and placement.  Objective This article presents a comparative overview of five AI-driven digital indirect bonding (IDB) systems—DIBS AI (OrthoSelect), DDP AI (with DTS), 3Shape Ortho System, uLab AI, and SoftSmile Vision—highlighting their core capabilities, clinical applications, and integration into orthodontic practice.  Approach Each platform was examined based on its documented use of AI for bracket positioning accuracy, treatment planning efficiency, and digital workflow integration. Peer-reviewed literature, developer specifications, and clinical reports were critically appraised to inform the comparison.  Findings DIBS AI, DDP AI, and 3Shape offer robust IDB workflows with precise bracket placement tools and established clinical utility. uLab AI and SoftSmile Vision demonstrate hybrid and aligner-focused innovations that complement bracket-based treatments and expand digital planning versatility.  Conclusion AI-powered IDB systems are reshaping orthodontic care by enhancing treatment precision and streamlining planning workflows. Their integration signals a pivotal shift toward intelligent, data-driven orthodontics, with implications for future research, clinical education, and practice evolution.

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