(TC71) The Future of Pre-Operative: AI-Segmentation and Augmented Reality for Complex Endodontic Cases

The integration of AI-assisted segmentation and augmented reality (AR) is transforming the future of preoperative diagnosis and treatment planning in endodontics. AI technology enhances CBCT imaging by enabling precise segmentation of patient anatomy, offering unparalleled visualization. This table clinic explores the application of this technology in addressing three unique endodontic challenges: maxillary sinusitis of endodontic origin (MSEO) with internal resorption in an upper molar, a microsurgical case of radix entomolaris in a lower molar, and S-shaped canal anatomy in an upper premolar. In each case, AI-assisted segmentation refined with manual adjustments enabled the creation of layered, color-coded models, which were visualized on screens, mobile AR platforms, or augmented reality headsets. These holographic models, with adjustable transparency, were integrated during treatment with microscope imaging for real-time intraoperative navigation. Emerging AI developments will soon allow seamless alignment of volumetric holographic data with patients, utilizing cameras in surgical microscopes or AR headsets. The adoption of these advancements will improve preoperative planning, surgical precision, and patient outcomes, offering a glimpse into the transformative potential of technology in modern endodontics.