The integration of Artificial Intelligence (AI) is fundamentally reshaping implant dentistry, transitioning it from a digital to an intelligent practice. This presentation explores the transformative impact of AI and machine learning across the entire clinical workflow.

We will demonstrate how AI algorithms now automate the analysis of CBCT scans, achieving unparalleled precision in identifying vital anatomical structures and optimal implant positions, thereby enhancing preoperative safety and efficiency. The discussion will extend to AI’s role in advanced diagnostics, using pattern recognition to assess bone quality, predict individual patient risks, and enable truly personalized treatment planning.

Further, we will showcase the emergence of intelligent dynamic guidance systems that offer real-time surgical feedback, surpassing the limitations of static guides. The presentation will also cover AI’s capacity for predictive analytics, leveraging vast datasets to forecast long-term prosthetic outcomes and implant health, facilitating proactive maintenance.

Attendees will gain critical insights into how AI serves as a powerful clinical co-pilot, augmenting expertise to achieve unprecedented levels of precision, predictability, and personalized patient care. This session will conclude by addressing the practical pathways for integration into modern practice, ensuring clinicians are prepared to lead the next wave of this technological revolution in dentistry.

Objectives:

1. Evaluate the core functionalities of AI in diagnostic imaging, specifically its ability to automate the analysis of CBCT scans for precise anatomy mapping and implant site identification.
2. Assess the application of AI-driven predictive analytics in calculating surgical risks, diagnosing pathologies, and developing personalized, evidence-based treatment plans for implant patients.
3. Compare the capabilities of AI-enhanced dynamic surgical guidance systems with traditional static guides, analyzing their respective impacts on surgical accuracy, safety, and ability to manage complex cases.
4. Formulate a strategy for the integration of AI technologies into a clinical implant practice, considering workflow adaptation, data management, and the evolving role of the clinician in an AI-augmented workflow.