SP-06 Smarter Endodontics: An Ai-driven Platform for Modern Dental Diagnostics

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CE Hours: 0.75

Description: This presentation highlights the development and clinical integration of an AI-driven diagnostic and teleconsultation platform designed to optimize decision-making in endodontic care. The system enables pre- and post-treatment validation through deep learning algorithms trained on annotated radiographs to assess root canal indications, extraction needs, and case difficulty. Secure, real-time telecommunication tools allow general practitioners (GPs) and endodontists to engage in case discussions and streamlined treatment planning. The platform integrates an AI-based triage and scheduling module that prioritizes appointments based on diagnostic urgency. Clinical pilot studies demonstrate improved diagnostic concordance, more accurate case difficulty grading, and enhanced workflow efficiency. By combining AI-powered analysis with expert-driven validation and scheduling automation, the system promotes higher treatment confidence, reduced unnecessary referrals, and better patient outcomes. The platform is fully validated, regulatory-ready, and positioned for commercial launch, offering a scalable solution for modern endodontic practices.

Learning Objectives:  

  • Describe the role of AI in pre- and post-treatment diagnostic validation for endodontic procedures.
  • Evaluate the clinical benefits of secure teleconsultation for improving diagnostic accuracy and workflow efficiency.
  • Discuss how AI-integrated scheduling based on case complexity can streamline patient triage and optimize resource utilization.
This content will not be available until 07/01/2026 at 12:00 AM (CDT)