AI in Dentistry
AI is already in diagnostic imaging, treatment planning, and practice management. This course cuts through the noise and shows you what's real, what works, and what's actually coming next.
About this course
AI adoption in dentistry is accelerating — in diagnostic imaging, treatment planning, insurance processing, and patient communication. Practitioners who understand the technology will make better purchasing decisions, provide better care, and be better positioned for what comes next.
This course is built for dental professionals who want to be on the right side of that shift. Not a technology sales pitch — an honest assessment of capabilities, limitations, and clinical implications.
What you'll cover
- 1AI in dental imaging: detection, segmentation, and classification
- 2AI-assisted treatment planning: current tools and clinical evidence
- 3Practice management AI: scheduling, billing, and patient comms
- 4Regulatory and liability landscape for AI diagnostic tools
- 5How to evaluate and adopt AI tools in your practice
Who this is for
Audience
Dental students, practicing dentists, and dental educators
Prerequisites
Dental student or dental professional.
Your instructor
Kevin Braza
PhD Candidate, UC Davis · CBRN AI Safety Scientist
Chemical engineering PhD candidate, Quantic MBA, former boarding school faculty, and CBRN AI safety scientist at Reinforce Labs. Previously UCSB B.S. Chemistry, Harvard/Amgen, and IB + AP classroom instructor. Teaches at the intersection of chemistry, AI, and systems thinking.
Frequently asked
Is this a technical course or a clinical one?
Clinical framing, technical accuracy. You'll understand how the tools work at a conceptual level — enough to evaluate vendor claims critically.
What AI tools are covered?
The major platforms in diagnostic imaging (Pearl, Overjet, Denti.AI), treatment planning, and practice management — with an emphasis on what the evidence actually says.
What's your background in dentistry?
My PhD research is in dental materials — I approach this from the materials science and AI evaluation side, not the clinical side. That perspective is what makes this course different.
$997
One-time · Lifetime access
Includes
- 5 video modules
- Tool evaluation framework
- Lifetime access
- Certificate of completion