AI in Dentistry: What It Can (and Can’t) Do for Dental Practices

Dental AI Essentials Series

This article is part 1 of Dental AI Essentials, a 6-part series designed to help Canadian dental practices use AI safely, practically, and with confidence.

Series articles:

1. AI in Dentistry: What It Can (and Can’t) Do for Dental Practices
2. AI Dental Privacy in Canada
3. AI Hallucinations in Dentistry
4. AI Supervision in Dental Practice
5. AI in the Dental Practice: What It Changes
6. The SAFE Way to Use AI in Dentistry

Can AI be safely used in dental practice?

Yes—but only when it is used with clear rules, proper review, and professional judgment.

AI is rapidly showing up in dental practices across Canada—supporting charting, patient communication, insurance narratives, marketing, and even clinical workflows.

Some see it as a powerful productivity tool. Others see it as a potential risk.

The reality is somewhere in between.

This series is designed to give dental teams practical clarity:

• What AI can do
• What it cannot do
• Where the risks are
• How to use it safely

Because the real question is not:

“Can we use AI?”

It is:

“Are we using AI in a way that protects our patients, our practice, and our professional responsibilities?”

What AI can do in a dental practice

AI is most useful when it supports communication, organization, and first drafts.

For example, AI can help dental teams:

• Draft patient-friendly explanations
• Summarize general educational content
• Create first drafts of insurance narratives
• Brainstorm marketing ideas
• Build checklists and templates
• Simplify complex instructions into plain language
• Support internal training materials

This can be valuable in a busy practice where time and clarity matter.

Key idea:

AI should support the team—not replace the team’s thinking.

What AI cannot do

AI does not understand patients the way dental professionals do.

It does not:

• Know full clinical context
• Carry professional responsibility
• Understand consent obligations
• Apply clinical judgment
• Interpret privacy laws on its own

AI may produce answers that sound clear and confident—even when they are:

• Incomplete
• Outdated
• Biased
• Incorrect

That matters because dental practices work in a high-responsibility environment, including:

• Patient records
• Treatment plans
• Financial and insurance data
• Clinical communication

Key principle:

If AI helps draft it, a trained human must review it.

The biggest mistake: treating AI like a shortcut

Most AI-related problems are not caused by intentional misuse.

They happen because there are no clear rules.

A typical pattern looks like:

• A team member tries a tool
• Another copies the workflow
• Someone pastes in real information
• The output gets used without review

No one intends to create risk—but without structure, it happens.

Without clear rules, practices may not know:

• Which tools are approved
• Whether patient data can be used
• Where information is stored
• Who must review output
• What must be documented
• When AI should not be used

This is not a technology problem—it is a governance problem.

Why this matters in Canadian dental practice

Dental practices in Canada must manage patient information carefully.

Depending on the province, this may include:

• Federal privacy law (PIPEDA)
• Provincial privacy legislation
• Health information regulations

These frameworks emphasize:

• Accountability
• Consent
• Limited use and disclosure
• Safeguards
• Transparency

Bottom line:

Your practice remains responsible for patient data—even when using AI tools.

Before using AI with any patient-related information, practices must understand:

• How data is handled
• Where it is stored
• Who can access it
• Whether it is used for training

A simple dental example

A team member wants to use AI to simplify a treatment explanation.

Lower-risk approach:

• Use general, non-identifying information
• Ask for a plain-language explanation
• Have a team member review the result
• Ensure it matches the patient’s situation

Higher-risk approach:

• Paste a full chart note into a public AI tool
• Include identifying details
• Use the output without review

Same intention—very different risk.

Why training matters

AI is easy to try—but not always easy to use safely.

Without training, teams may not know:

• What tools are approved
• What data can be used
• What requires review
• When to escalate concerns

This is where most risk begins—not from bad intent, but from unclear expectations.

What dental practices should do first

Before using AI widely, start with a simple internal review.

Ask:

• What are we using AI for now?
• Which tools are approved?
• Can staff enter patient information?
• Who reviews AI-generated content?
• Do we understand the tool’s data handling?
• Has the team been trained?

If the answer to several of these is “not sure,” that is not a failure.

It is your starting point.

Training for dental teams

Safe AI use in dental practice requires structured training.

Myla’s AI Essentials training for dental teams helps practices:

• Understand AI risks and limitations
• Apply privacy and compliance rules
• Build safe workflows
• Train teams effectively

👉 Learn how to safely use AI in your dental practice: https://mylatraining.com/training

FAQ: AI in dental practice

Is AI safe to use in dentistry?

Yes—when used with clear rules, human review, and privacy safeguards.

Can AI replace clinical judgment?

No. Clinical decisions and professional responsibility remain with the dental team.

Can staff enter patient data into AI tools?

Only if the tool is approved and privacy requirements are met.

What is the biggest risk?

Unstructured use—when staff use AI without clear rules or training.

Do dental teams need AI training?

Yes. Training ensures safe, consistent use.

Summary

AI can be a valuable tool in dental practice—but it is not a shortcut and not a replacement for human judgment.

Used well, it improves efficiency.
Used poorly, it creates risk.

The difference comes down to:

• Clear rules
• Trained teams
• Human review

AI supports the work—but the dental team remains responsible.

Next in the series

AI Dental Privacy in Canada

What are the implications of using AI tools in a Canadian dental practice?

About the author

Anne Genge is the founder of Myla Training Corp, a Canadian provider of AI, privacy, and cybersecurity training for dental teams.

She is a national speaker and educator who helps dental teams use technology safely, protect patient information, and build practical systems that work in real clinical environments.

Learn More. Worry Less. Stay Safe.

Sources

1. NIST - AI Risk Management Framework: https://www.nist.gov/itl/ai-risk-management-framework
2. Office of the Privacy Commissioner of Canada - PIPEDA Fair Information Principles: https://www.priv.gc.ca/en/privacy-topics/privacy-laws-in-canada/the-personal-information-protection-and-electronic-documents-act-pipeda/p_principle/
3. Health Canada - Pre-market guidance for machine learning-enabled medical devices: https://www.canada.ca/en/health-canada/services/drugs-health-products/medical-devices/application-information/guidance-documents/pre-market-guidance-machine-learning-enabled-medical-devices.html
4. Canadian Centre for Cyber Security - Generative artificial intelligence: https://www.cyber.gc.ca/en/guidance/generative-artificial-intelligence-ai-itsap00041
5. Health Canada, FDA, and MHRA - Transparency for machine learning-enabled medical devices: https://www.canada.ca/en/health-canada/services/drugs-health-products/medical-devices/transparency-machine-learning-guiding-principles.html