Meet the Speakers

Three leaders. Three perspectives. One defining question: where should AI end and the dentist begin?

Dr. Alex Sanders
PhD in Prosthodontics, Founder and CEO of Diagnocat
Topic: From AI Tool to AI-Native Dental Practice

Dr. Paulo Monteiro
DMD, MSc, Professor in Aesthetic and Restorative Dentistry, StyleItaliano Member
Topic: Can AI Understand Aesthetics — and Patients?

Dr. Roberto Rossi
DDS, MScD in Periodontology, President of the Italian Academy of Esthetic Dentistry (IAED), International Lecturer
Topic: AI, Experience and the Long-Term View

Artificial intelligence is rapidly becoming part of everyday dentistry — from imaging and documentation to patient communication and practice management.

But as technology advances, a more important question emerges: where should AI support the dentist, and where must professional judgment take the lead?

Join three internationally recognised dental leaders for focused 15-minute conversations about the real role of AI in modern dentistry. No hype or exaggerated promises — just honest perspectives on what AI can support, what dentists should question and what must stay human.

What You’ll Learn

• How AI is influencing clinical work, patient communication and practice management
• Where AI-assisted information may add value — and where it requires professional verification
• Why experience, empathy and clinical context remain essential
• What an AI-native dental practice could look like
• Which decisions should always remain in the hands of the dental professional

Clinical Takeaway

Leave with three practical questions to ask before relying on any AI-assisted information:

What information is it using? Can I verify it? Does it fit the clinical context?

Who Should Attend

General dentists, specialists, practice owners, managers and dental professionals who want a practical and balanced understanding of AI in dentistry.

Why You Can’t Miss This

AI is entering dentistry faster than many practices can define the boundaries of its use. The advantage will not come from using more AI — but from knowing when to trust it, when to question it and when human judgment must come first.