Overview
Intraoral scanning has transformed how we capture clinical data, but its potential goes far beyond treatment-driven workflows.
In this webinar, we explore how AI-assisted diagnostic tools are changing the way clinicians use digital scans: from a reactive, treatment-focused record to a proactive diagnostic encounter that begins before treatment even starts.
Through clinical examples and a deep dive into the most common oral health conditions seen in daily practice, including caries, tooth wear, gingival recession, and plaque, participants will discover how AI-assisted visualization supports more structured assessments, richer patient conversations, and more informed follow-up care.
This session is designed for clinicians ready to elevate what a routine checkup can do.
By attending this webinar you will learn how to:
- Describe how AI-assisted diagnostic tools can be integrated into routine intraoral scanning workflows to support early detection of common oral health conditions including caries, tooth wear, gingival recession, and plaque accumulation.
- Explain the clinical value of a proactive, diagnostics-first approach to intraoral scanning and how it differs from traditional treatment-driven scan protocols.
- Apply AI-assisted diagnostic visualization to improve patient communication, informed consent, and preventive treatment planning during routine checkups.
- Identify at least three clinical scenarios in which AI-assisted diagnostic findings from intraoral scans can influence follow-up care decisions and patient outcomes.
