AI in Dental Practices 2026: ADA Survey on Adoption and Use Cases

July 30, 2026

Artificial intelligence is increasingly present in dental practice operations, and the latest American Dental Association Health Policy Institute survey provides data on how dentists are currently using AI, where adoption is planned, and which applications remain primarily human-led.

The latest American Dental Association Health Policy Institute survey offers a practical benchmark for that decision. It shows where dentists are using AI today, which tasks are attracting the most interest next, and where most dentists still prefer a human decision-maker.

The 2026 Adoption Snapshot

• 43.3% of surveyed dentists use AI for at least one practice task.
  
  
• 26.4% plan to use AI, although they are not using it yet.
  
  
• 30.3% do not use AI and do not currently plan to adopt it.
  
  

Where Dentists Are Using AI Today

Current use is spread across both clinical support and administrative work. No single application dominates, which means practice owners can start with the problem that creates the most friction in their own office.

• Imaging and diagnostic support: 22.8%.
  
  
• Insurance verification: 13.6%, followed by explaining clinical findings at 13.2%.
  
  
• Marketing and front office: social media at 10.7%, front desk or check-in at 10.1%, and practice analytics at 10.1%.
  
  
• Scheduling and revenue cycle: scheduling at 9.2%, billing or claims at 9.2%, and charting at 7.4%.
  
  

What Practices Plan to Adopt Next

Among dentists who are not using AI for a specific task, the strongest interest is in documentation and administrative work:

• Charting: 34.8%, followed by insurance verification at 32.6%.
  
  
• Billing and claims: 29.7%, followed by practice analytics at 27.2%.
  
  

A separate timing question asked future adopters what they expect to add in 2026. Front desk or check-in led at 32.4%, followed by scheduling at 29.6%, analytics at 29.3%, and charting at 29.0%. The denominators differ, so these figures describe two related views rather than a single ranking.

The Best Starting Points for a Private Practice

Start with a repetitive task that has a clear baseline and a human review step. These four areas usually offer the cleanest path to a useful pilot:

• Insurance verification. Measure staff minutes per patient, rework, and avoidable eligibility surprises.
  
  
• Charting support. Test whether drafts reduce after-hours documentation without weakening accuracy or completeness.
  
  
• Scheduling and front desk support. Track open-chair time, call response, and short-notice fills. Pair the pilot with a high-value short-notice list.
  
  
• Practice analytics. Use a small set of private-practice KPIs so the tool supports decisions instead of producing another dashboard to ignore.
  
  

Keep Clinical Decisions With the Dentist

Dentists draw a firmer boundary around autonomous clinical judgment. In the ADA survey, 82.6% reported no plan to use AI for treatment recommendations, and 53.8% reported no plan to use it for imaging. Even when AI supports either area, the dentist remains responsible for the diagnosis, recommendation, documentation, and patient conversation.

• Require human review. Do not allow an AI output to enter the chart or patient plan without verification.
  
  
• Test the failure cases. Ask how the tool handles disagreement, incomplete data, and false positive or false negative results.
  
  
• Protect patient information. Confirm whether the vendor will sign a business associate agreement, how ePHI is stored, and whether practice data is used to train another model. Review the HHS cloud service guidance before sending patient information to a new platform.
  
  

Run the Numbers Before You Buy

The financial context matters. Since January 2021, dental wages and supplies have each risen about 23%, reimbursement has risen about 19%, and overall inflation has risen about 27%. AI should relieve a measurable constraint, not become another subscription.

For example, assume insurance verification takes five staff hours each week at a loaded labor cost of $25 per hour. That is $6,500 per year. A $200 monthly tool costs $2,400 per year, so it needs to save about 1.85 hours each week to cover the subscription. Round that to two hours. If the pilot cannot reliably produce that result, change the workflow or stop the tool.

Use the same discipline you would apply to cash flow management: start with a baseline, count the full cost, and review the result after a defined period.

A Simple 90-Day Pilot

• Choose one bottleneck. Define the exact task, the current owner, and the result you want to improve.
  
  
• Measure the baseline. Track two weeks of time, errors, rework, denials, open-chair time, or another relevant measure.
  
  
• Set the guardrails. Name the reviewer, document the approval step, and complete the privacy and security review before use.
  
  
• Run the pilot. Train a small group, record exceptions, and meet briefly each week to resolve workflow problems.
  
  
• Decide at day 90. Scale, revise, or stop based on the agreed measure. Staff enthusiasm alone is not an ROI calculation.
  
  

Keep the pilot small. Two or three team members are enough to expose workflow problems without disrupting the entire office. Give them one place to record exceptions and one person who can decide whether a workaround is acceptable. This prevents informal fixes from quietly becoming the new process.

Questions to Ask Before You Buy

A polished demonstration is not the same as a dependable workflow. Ask the vendor to show the tool with conditions that resemble your office, including incomplete information, unusual cases, and the systems your team already uses. Then get clear answers to these questions:

Does the tool connect to your practice management, imaging, or phone system without duplicate entry?

• Who verifies the output, and where is that review documented?
  
  
• Will the vendor sign a business associate agreement when required?
  
  
• Who owns the data, how long is it retained, and can it train another model?
  
  
• What happens during an outage or when the output is wrong?
  
  
• Which 90-day measure will determine whether the tool stays?

Bottom Line

AI in dental practices is most useful when it removes a specific burden while the dentist keeps control of clinical decisions. Pick one workflow, measure it, protect patient information, and give yourself permission to stop if the numbers do not improve.

Not sure where to start? Contact us today!

About the Data

The ADA invited 2,432 dentists to participate on June 15, 2026. It received 589 responses, for a 24.3% adjusted response rate. Of those, 552 respondents worked in private practice, including large groups and dental service organizations. The sample skews toward ADA members, general dentists, owners, solo or small-group practices, mid-career or late-career dentists, white dentists, and urban practices. Use the results as a directional benchmark rather than a census.

References

American Dental Association Health Policy Institute. (2026). The state of the U.S. dental economy: 2nd quarter 2026 update: Plus AI usage in dental practices [Report]. American Dental Association. https://www.ada.org/-/media/project/ada-organization/ada/ada-org/files/resources/research/hpi/state_us_dental_economy_q22026.pdf

U.S. Bureau of Labor Statistics. (2026). Consumer Price Index data [Data set]. https://www.bls.gov/cpi/data.htm

U.S. Department of Health and Human Services, Office for Civil Rights. (n.d.). May a HIPAA covered entity or business associate use a cloud service to store or process ePHI? https://www.hhs.gov/hipaa/for-professionals/faq/2075/may-a-hipaa-covered-entity-or-business-associate-use-cloud-service-to-store-or-process-ephi/index.html