Will AI Replace the Dentist?

Image-analysis software is good at a narrow kind of work: looking through every pixel of an X-ray consistently, without getting tired, and pointing out regions that resemble patterns it has learned. That can help a dentist in several ways:

• A second look. Highlighting areas that may deserve attention, so they are less likely to be overlooked in a busy clinic.
• Structure. Numbering teeth, listing existing fillings and crowns, and organising observations so a case is easier to review.
• Explanation. Visual overlays can make it easier to show a patient what the dentist is talking about.

FDI's policy statement lists possible benefits for patients and professionals, including better access to care and more efficient processes — while stressing that dental AI must be built on high-quality data to be useful.

A dental diagnosis is not just image reading. A dentist listens to your symptoms, checks your medical history and medication, examines teeth and gums, tests how a tooth responds, and may compare several images over time. Then they discuss options with you, including your priorities, budget and the option of waiting.

Software sees only the image it is given. It cannot feel a loose tooth, notice that pain wakes you at night, or know that you would rather keep a tooth than replace it. It can also be wrong in both directions — marking a normal structure, or missing a real problem — especially when the image is unclear or unlike its training data. Our guide on how dental AI works explains why.

The expectation that a qualified person stays in charge is written into professional guidance and, increasingly, into regulation:

• FDI World Dental Federation (2024) recommends that dentists use AI as an assistance system, protect themselves against automation bias, and keep responsibility for any diagnosis or treatment derived from AI assistance.
• The World Health Organization (2021) lists protecting human autonomy and ensuring responsibility and accountability among its core principles for AI in health; its 2023 regulatory considerations add transparency, risk management and data quality.
• The EU Artificial Intelligence Act (2024) requires high-risk AI systems to be designed so that people can oversee them effectively. Which products count as high-risk depends on their intended use and on medical-device law.

Rules differ by country and change over time, so treat this as an overview rather than legal advice.

Research outside dentistry shows a consistent pattern called automation bias: when a computer offers advice, people sometimes accept it even when it is wrong, or stop looking for what the computer did not mention. A systematic review in health informatics found that this happens across many settings, and a 2021 study found that clinicians could be swayed by incorrect advice from a decision aid.

For patients, the practical lesson is simple. A good dentist uses AI output as one input among several and is comfortable explaining where they agree or disagree with it. Asking “What do you see?” is always a reasonable question.

Rather than replacing dentists, AI is more likely to change parts of the routine: preparing structured case summaries, flagging areas to double-check, supporting documentation and helping explain findings visually. Patients may increasingly arrive with organised information, such as an online pre-assessment, that helps them ask better questions.

None of this removes the examination, the conversation or the accountability. It may, if used well, give both sides more time for them.