AI for Dentistry

Learn to use AI in the dental clinic based on evidence: assisted radiograph reading, CBCT, digital planning, documentation and patient communication. A fictional dental clinic case. The model suggests. The dentist decides.

Developed under the new AI Act model · Continuous updates

IntellCore campus app, available on iOS and Android

Edition 2026

200 hours of applied learning

8 academic credits

25 lessons + 6 workshops

Digital campus

Verifiable certificate

550 USD one payment · or 2 × 275 USD (today and after 30 days)

Enroll here

What you'll learn

Explain what AI is and which tools dentistry uses today, along with their limits.
Interpret the sensitivity, specificity and predictive value of a caries detector and avoid overtreatment.
Review assisted planning in implantology, orthodontics, prosthodontics and periodontics under clinical control.
Use AI to document and communicate diagnoses without losing accuracy or patient trust.
Apply FDA, MDR, the AI Act and the FDI policy when evaluating and buying a tool.
Defend an AI workflow for a dental clinic with a pilot, indicators and governance.
Apply the IntellCore AI Act Method™: classify the risk of an AI use case in your field and document it under the AI Act 2026.

Program curriculum

01 — AI in the dental clinic

What AI is, who invented it and where it came from
From digital radiography to computer vision: AI arrives in dentistry
The 2026 landscape: tools already in clinics
Language models in the dental clinic: safe uses and verification
Dental data and privacy
Workshop 1 · Map of AI uses and risks at Mirall

02 — Diagnostic imaging

Detecting caries and pathology on 2D radiographs
Sensitivity, specificity, predictive value and overtreatment
CBCT and 3D segmentation
Automation bias and second-opinion reading
Workshop 2 · Blind reading of 50 radiographs: dentist alone versus dentist with AI

03 — Planning and digital dentistry

AI-guided implantology
Orthodontics and aligners: simulation and follow-up
Prosthodontics and CAD/CAM with assisted design
Periodontics and risk prediction
Workshop 3 · Treatment plan for a complex case with AI and clinical control

04 — Communication, documentation and management

Explaining diagnoses to patients with AI images
Clinical documentation and ambient scribes
Appointment, reminder and messaging assistants
Coding, insurance and quality audits
Workshop 4 · Communication script and reviewed clinical note

05 — Regulation, ethics and quality

Regulation of dental software: FDA, MDR, the AI Act and Latin America
The FDI policy on AI and the core curriculum in dentistry
Ethics: consent, liability and equity
Evaluating and buying a tool
Workshop 5 · Evaluation of three fictional vendors

06 — Final project: an AI workflow for a dental clinic

Designing the workflow
Pilot with blind reading and measurement
Governance, training and updates
Report and defence
Workshop 6 · Mirall's AI workflow and final report

07 — IntellCore AI Act Method™ applied to your field

The EU AI Act 2026: risk levels, prohibited practices and obligations
Transparency, human oversight and documentation in your professional field
Classifying and auditing a real AI use case step by step
Your compliance file: certified with the IntellCore AI Act Method™

Practical application

· Map of AI uses and risks at Mirall
· Blind reading of 50 radiographs: dentist alone versus dentist with AI
· Treatment plan for a complex case with AI and clinical control
· Communication script and reviewed clinical note
· Evaluation of three fictional vendors
· Mirall's AI workflow and final report

Practical project: AI workflow for Mirall Dental Clinic: map of uses, blind reading of radiographs with and without AI, a complex case plan, vendor evaluation and a pilot with stopping criteria.

Who is this for?

· General dentistry
· Orthodontics
· Implantology
· Periodontics
· Dental hygiene
· Clinic management

Requirements

· No technical knowledge or programming required.
· Basic use of documents and spreadsheets.
· Work exclusively with the fictional case and synthetic data; never enter real patient data.

Edition 2026

What each week includes

Every week of the program follows the same structure.

01
Explainer video per lesson
02
Guided reading (6 h)
03
IntellCore Labs · ~90 min workshop with data
04
Verified real case
05
IntellCore Podcast
06
IntellCore Radar
07
Self-assessment
08
Practice and exam (70%, 3 attempts)
09
Extended practice (5 h)
10
IntellCore AI Act Method™ module applied to your field (30 h)
11
Applied final project (30 h)
12
6 modules × 23 h + IntellCore AI Act Method™ module 30 h + final assessment 2 h + final project 30 h = 200 h
13
Downloadable PDF summary