Abstract
This masterclass equips clinicians with practical tools to integrate artificial intelligence into daily diagnostics without losing clinical authority.Participants begin with a clear, structured understanding of how AI works, what it can do reliably, and where its limitations lie. From there, the workshop moves into real clinical application: intraoral scans as diagnostic sensor platforms, radiographic AI for bone and caries quantification, and cross-modal case interpretation combining scan, X-ray, and AI outputs. A dedicated strategic block addresses competitive positioning in high-performance markets, showing how diagnostic intelligence strengthens patient trust, supports premium positioning, and differentiates practices beyond simple technology ownership.
The workshop concludes with integrated cases where participants align radiographic AI, scanner data, risk modeling, and orthodontic planning into structured decision architecture.It is a clinical masterclass on using AI as a decision-support tool — not a decision-maker — to elevate diagnostic precision, professional confidence, and competitive positioning. The future of dentistry will not belong to those who work faster. It will belong to those who think better.
Learning Objectives
- Interpret AI-supported radiographs with clinical accuracy and responsibility.
- Utilize 3D scan data for longitudinal monitoring of wear and risk progression.
- Translate risk probabilities into clear, actionable treatment thresholds.
- Recognize and mitigate automation bias in AI-assisted decision-making.
- Document AI-supported clinical decisions in a safe and compliant manner.
- Communicate quantified risk effectively to high-expectation patients.
Agenda
| 12:00 – 13:00 |
From Detection to Decision
|
| 13:00 – 14:00 |
Lunch |
| 14:00 – 15:00 |
Radiographic AI in Practice (Hands-on)
|
| 15:00 – 16:00 |
3D Scans as Diagnostic Sensors
|
| 16:00 – 17:30 |
Large Language Models in the Practice
|
| 17:30 – 18:00 |
The Next 5–10 Years
|
Supported by
