Best AI Tools for Dental Practices in 2026

Which dental AI tool fits your practice?

• Solo practice, mostly bitewings and periapicals: compare Overjet, Pearl and Denti.AI on integration with your exact PMS version and on price. Denti.AI publishes its price ($399 per location per month, $333 billed annually); Overjet and Pearl quote.
• Open Dental practice: Better Diagnostics runs inside the Imaging Module for $149 per location per month, billed on your Open Dental statement.
• Dentrix Ascend practice: start with VideaHealth (Detect AI); it is already in your software.
• Multi-location group or DSO: Pearl and Overjet both sell cross-location analytics; VideaHealth has deep DSO partnerships.
• CBCT reports: Diagnocat sells self-serve plans (from €499 a year for 2D reports, €990 with CBCT). On Dentsply Sirona hardware, compare it with DS Core Detect.
• Orthodontics: Orca Dental AI automates cephalometric analysis and offers a free trial.
• Pediatric patients: look for a pediatric clearance (Overjet K233738, Pearl K243893, Videa K232384). Most clearances cover permanent teeth only.

Most “best dental AI” lists are sponsored, out of date, or treat every feature labeled “AI” as the same thing. This one narrows our list of FDA-cleared dental AI companies to the tools a US practice is most likely to buy, organized by what each is cleared to do. The tracker also covers companies we have not profiled, including Nobel Biocare (DTX Studio Clinic and Assist), Cube Click (Smile Dx), Bench7 (SugarBug), 3Shape (TRIOS Dx) and Align (Invisalign treatment planning).

General diagnostic AI (2D radiographs)

These are the profiled vendors for 2D x-rays. All analyze bitewings and periapicals; some also read panoramics. They differ in what each clearance covers, how findings are shown, and which practice management systems they connect to.

Overjet: the most clearances, built around measurement. Overjet holds 12 clearances, more than any other company. They cover bone-level measurement (K210187), caries detection including pediatric (K212519, K222746, K233738), calculus (K220928), periapical radiolucency (K231678), charting (K233590, K241684), and, since late 2025, CBCT analysis (K251514) and multi-image caries and charting (K261059). The bone-level output is a number, not just a highlight, which matters for periodontal documentation. Integrates with Dentrix, Eaglesoft and Open Dental. For a detailed regulatory comparison, see Overjet vs. Pearl.

Pearl: broad finding coverage, now on panoramics and CBCT. Pearl’s original Second Opinion clearance (K210365) covers a wide list of findings in one filing. Since 2025 it has added clearances for panoramic radiographs (K250525), pediatric caries from age 4 (K243893), bone level (K243230), periapical radiolucency outlines (K242600), and CBCT anatomy (K243989). It integrates with Dentrix, Eaglesoft, Open Dental, Curve and Carestack, and its Practice Intelligence dashboard targets multi-location groups.

VideaHealth: the built-in option for Dentrix Ascend. VideaHealth’s clearances run from caries detection (K213795) to Videa Dental Assist (K232384), which covers caries and more than ten other findings on bitewing, periapical and panoramic images for patients from age 3, plus bone-level measurement (K223296) and its newest Videa Dental AI clearance (K251002). It ships as “Detect AI” inside Dentrix Ascend, so Ascend practices get it without a separate integration. See Dentrix Ascend AI features explained, and our head-to-heads of Overjet vs VideaHealth and Pearl vs VideaHealth.

Velmeni: one read across bitewings, periapicals and panoramics. VELMENI for DENTISTS (V4D) is cleared to detect caries, fillings and restorations, fixed prostheses and implants on all three 2D image types for patients 15 and older (K240003, updated in K250753). Its Endo-Perio clearance (K252953, May 2026) adds tooth and jaw anatomy, bone level and root-canal-treated teeth. No calculus or periapical radiolucency detection is cleared, and pricing is quoted after a demo.

Denti.AI: detection plus documentation. Denti.AI Detect (K230144) flags caries and periapical radiolucency, and Auto-Chart (K222054) pushes findings into the chart. The company pairs these with an AI scribe and voice perio charting, which are documentation tools outside the imaging clearances. Its OneStop Clinical plan bundles notes, voice perio and FMX and panoramic analysis for $399 per location per month, or $333 billed annually (denti.ai/pricing).

Better Diagnostics: a newer entrant. Caries Assist (K241725, 2025) and Dental Assist (K260851, 2026) cover caries, bone level and several other findings on bitewings and periapicals. Open Dental says it is natively integrated in the Open Dental Imaging Module and lists it as AI Image Analysis at $149 per location per month, one of three FDA-cleared imaging tools with a published price (with Denti.AI and Diagnocat).

Only Better Diagnostics, Denti.AI and Diagnocat publish prices; the rest quote after a demo. Our dental AI pricing guide lists every published price with its source, and what to ask before signing.

Specialty imaging AI (CBCT, 3D and orthodontic)

CBCT is where the market moved fastest in 2025 and 2026, and the CBCT clearances differ a lot in what they cover. Use the CBCT filter on the clearance tracker to see all of them.

Diagnocat: AI second read on CBCT. Diagnocat holds two clearances: Diagnocat itself (K252934, January 2026), for concurrent-read detection of periapical radiolucency on CBCT in patients 22 and older, and the Segmentron Viewer (K251072, September 2025) for 3D processing and visualization, with STL generation cleared for educational use only. Its reports and segmentation models go beyond those clearances. Along with Dentsply Sirona’s DS Core Detect (K253009; see Diagnocat vs DS Core Detect), it is one of two CBCT clearances here that cover flagging a disease finding, and its self-serve plans are priced on its website (from €499 a year for 2D-only, €990 a year with CBCT reports).

Overjet CBCT Assist and Pearl Second Opinion 3D. Both general-dentistry leaders now have CBCT clearances: Overjet for segmentation, measurement and 3D visualization (K251514), and Pearl for marking anatomy such as the inferior alveolar canal and sinus (K243989). Velmeni’s V4D 3D (K254096, July 2026) also labels anatomy, including the mandibular canal, TMJ and airway.

Dentsply Sirona DS Core and Relu: segmentation for planning. DS Core Detect (K253009, January 2026) flags teeth that may have periapical radiolucency on CBCT scans taken for other reasons. DS Core CBCT Anatomy (K260785, K262127) and Relu Creator and Cloud (K233925, K252708) segment CBCT and intraoral scans as input for implant, orthodontic and surgical planning.

Orca Dental AI: cephalometric analysis. CephX (K231396) automates cephalometric analysis for orthodontic treatment in patients 14 and older; CephX3D (K252538, 2026) extends this to 3D images for patients 12 and older. Orca offers a free trial, which is unusual in this market.

Practice management AI

Not everything labeled “AI” in your practice management software is actually AI. Some features are rule-based automation. Some are database queries with a new interface. Some are genuine machine learning.

Dentrix Ascend, the cloud version of Dentrix, has rolled out several features marketed under the AI umbrella. We wrote a detailed breakdown of which Dentrix Ascend features are genuine AI, which are automation, and which are neither. If you are evaluating Ascend’s AI claims, start there before making purchasing decisions based on feature lists.

On the scheduling side, AI-driven appointment optimization is one of the more practical non-imaging applications. The core idea is using historical data (cancellation patterns, no-show rates, procedure duration variance) to suggest scheduling configurations that reduce gaps and overbooking. Our AI scheduling optimization guide covers how practices are implementing this, what data you need, and what results are realistic to expect.

Patient communication

This is where general-purpose LLMs earn their keep in a dental practice. No FDA clearance needed. No vendor contract. No integration. You open ChatGPT or Claude, paste in some context, and get usable output.

Google review responses. Every practice needs to respond to Google reviews, and most do it badly or not at all. ChatGPT is effective at generating responses that acknowledge the patient’s experience without violating HIPAA. The key constraint is never confirming that the reviewer is a patient. Our review response guide includes specific prompts and the HIPAA boundaries you need to stay inside.

Patient follow-up emails. Post-procedure follow-ups, reactivation sequences for patients who have not been in for 18 months, treatment plan acceptance nudges. Claude handles the tone well: professional without being stiff, warm without being fake. See our follow-up email prompt library for templates you can adapt.

Marketing content. Social media posts, newsletter copy, website pages, patient education handouts. ChatGPT is the workhorse here for volume. Our marketing prompts guide gives you prompts organized by content type. If you are building or rebuilding your practice website from scratch, the website building guide walks through using AI for site structure, copy, and SEO from the ground up.

Clinical documentation

Insurance companies and specialists do not care how polished your marketing copy is. They care about clinical specificity, correct terminology, and documentation that supports the treatment you are recommending or the claim you are submitting. This is where Claude tends to outperform ChatGPT. The longer context window and instruction-following precision matter when you are generating multi-paragraph clinical narratives.

Insurance narratives. Pre-authorization letters, claim narratives, appeal letters for denied claims. The prompt needs to include the specific procedure codes, clinical findings, radiographic evidence, and the patient’s treatment history. Our insurance narratives prompt library includes prompts for the most commonly denied procedures and the specific language insurance reviewers look for.

Referral letters. When you refer a patient to an endodontist, periodontist, or oral surgeon, the referral letter needs to be clinically precise and include the right information for the specialist to triage effectively. Our referral letter prompt guide covers the format and content expectations by specialty.

SOPs and training materials. Standard operating procedures for clinical workflows, front desk protocols, new hire training documents. These are documents most practices know they need and never get around to writing. Our SOPs guide shows how to use AI to generate first drafts that you then edit for your specific practice. Not a finished product, but a starting point that saves 10-15 hours of writing per document set.

Hiring and growth

Staffing is the problem that will not go away. Finding, screening, and onboarding dental assistants, hygienists, and front desk staff costs time that most practice owners do not have. AI can compress the writing-intensive parts of this process.

Job postings that actually attract candidates. Interview question sets tailored to the role. Onboarding checklists and training schedules. Offer letter templates. These are all text-generation tasks where ChatGPT and Claude produce usable first drafts in minutes. Our AI-assisted hiring guide walks through each stage of the hiring funnel with specific prompts and examples.

Which AI model for non-clinical tasks

For everything outside imaging, the documentation, communication, and operations work described above, you are choosing between ChatGPT, Claude, and Gemini (current versions of each). They are not interchangeable. Each has strengths that matter for specific dental practice tasks.

The short version: ChatGPT is strongest for high-volume content generation and tasks where broad general knowledge matters. Claude handles long-form clinical writing better, follows complex multi-step instructions more reliably, and tends to produce more precise insurance and referral documentation. Gemini integrates tightly with Google Workspace, which matters if your practice runs on Google Docs and Gmail.

We put the same treatment plan prompt to all three assistants and published their example outputs side by side. It is a look at one scenario, not a ranking, so use it to see how each one writes before you standardize on a model.

What is not on this list (and why)

We excluded several tools that appear on other “best dental AI” lists. Here is why.

Dentistry.AI. This company appears to have been inactive since approximately 2020. The website is either down or unchanged. We found no evidence of current product availability, updated FDA filings, or recent customer deployments. Until there is verifiable evidence of an active product, we cannot recommend it.

DentalXR.AI Pro. CE marked for the EU and UK markets but does not hold FDA 510(k) clearance. Without FDA clearance, it is not available for clinical use in US dental practices. If you practice in Europe, this tool may be worth evaluating. For US-based practices, it is not an option today.

Retrace. We have not been able to independently verify Retrace’s current FDA clearance status from publicly available 510(k) database records. The tool may hold clearance that we have not located, or it may be operating under a different regulatory pathway. We are not making a claim either way. We are saying we cannot verify the status, and we do not list tools we cannot verify.

Any tool claiming “AI-powered” without verifiable clearance or testing methodology. The dental technology market has a pattern of attaching the AI label to features that are rules-based automation, simple threshold algorithms, or basic statistical analysis. If a vendor cannot point you to a specific 510(k) clearance number for their diagnostic claims or a published methodology for their non-diagnostic AI features, ask why.

Where to start

If you have read this far and still are not sure where to begin: start with the non-clinical tools. Open a ChatGPT or Claude account, pick one task from the documentation or communication sections above, and try it this week. The imaging tools require sales calls, contracts, integration work, and training. The LLM tools require a browser tab and 15 minutes.

Once you see the value in AI-assisted writing and documentation, the case for investing in imaging AI becomes easier to make, both to yourself and to anyone else who approves spending at your practice. The imaging tools are a bigger commitment with a bigger payoff, but they are not where most practices should start.

Correction, October 23, 2026. An earlier version of this section described a scored comparison of Claude, ChatGPT and Gemini. That comparison has been reframed and no longer ranks the models.

Independent. We verify regulatory claims against the FDA 510(k) database and link every filing. Found an error? Email [email protected]; corrections are logged on our editorial policy page.