DentalMonitoring

AI-powered remote orthodontic monitoring using smartphone selfies to track tooth movement.

Contact for pricing FR

DentalMonitoring is the first Software as a Medical Device (SaMD) platform in the orthodontics industry, allowing patients to take intraoral photos with their smartphones so clinicians can remotely track whether tooth movement is going according to plan.

Features and Use Cases

Orthodontic treatment has a structural paradox in its follow-ups: most of the time, a visit is just for the doctor to take a quick look to see if things are moving as planned, and if everything is fine, switch to the next aligner tray. Yet patients still have to take time off work, sit in traffic, and wait half an hour in the waiting room. DentalMonitoring's solution moves this quick check online—patients use a smartphone paired with a dedicated hardware device called ScanBoxpro to take intraoral photos. The AI analyzes these photos to track over 60 treatment parameters, alerting the clinic for an in-person visit only when anomalies arise. According to the company, the system has processed over 2 billion patient photos, forming the foundation of its model's accuracy. Beyond core monitoring, DM Engage offers prospective patient assessment and treatment previews (a powerful conversion tool that lets individuals see their post-treatment smile in advance), DM Insights provides clinic operations analytics, and SmartSTL enables remote STL file exports from monitoring scans. Regulatorily, the platform holds FDA De Novo clearance, EU MDR certification, and the CE mark. Official data shows service in over 50 countries, with 8,000+ registered professionals and over 2 million monitored patients. The parent company, Dental Monitoring SAS, is based in France.

Ideal for orthodontic specialist practices and dental clinics offering clear aligner treatments, as well as practice owners looking to reduce unnecessary follow-ups and expand their service radius.

Key Features

Smartphone intraoral selfies paired with ScanBoxpro/ScanAssist hardware
AI tracking for over 60 orthodontic treatment parameters
Anomaly-triggered visit alerts to reduce unnecessary appointments
DM Engage: Prospective patient assessment and treatment outcome preview
DM Insights: Clinic operations analytics dashboard
SmartSTL: Remote STL file export from monitoring scans
FDA De Novo clearance, EU MDR, and CE certifications

Pros

Comprehensive medical device software certifications with clear regulatory standing
Robust model foundation trained on a scale of over 2 billion photos
Significantly reduces non-essential patient follow-up visits
Treatment previews double as an effective clinic marketing and conversion tool

Cons

Pricing is not publicly disclosed on the official website
Relies on patient compliance in taking regular selfies, which directly impacts effectiveness
Requires dedicated hardware, creating additional costs for patients
Remote monitoring cannot replace necessary clinical palpation and X-ray imaging

Use Cases

Remote progress tracking for clear aligner treatments
Reducing clinic travel frequency for patients living in remote areas
Demonstrating simulated post-treatment results during initial consultations
Analyzing treatment efficiency and operational data for dental practices
Remotely obtaining STL files for subsequent manufacturing workflows

Editor's Note

This is one of the few genuinely sensible applications in telehealth. It doesn't overpromise by claiming AI can diagnose major medical conditions; instead, it solves a very narrow yet painful problem: eliminating unnecessary follow-up visits. In competitive dental markets, if clinics can use treatment previews to boost conversion rates and remote monitoring to free up chair time, the financial benefits of these two use cases are far more practical than the usual 'AI is amazing' hype.

FAQ

Can remote monitoring completely replace in-person visits?

No. It replaces routine follow-ups purely meant for checking progress. Periodontal conditions, bite adjustments, and detached attachments still require an in-person clinic visit. It is best understood as optimizing visit frequency to only when necessary, rather than eliminating visits altogether.

Are patient self-taken photos accurate enough?

That is precisely why the ScanBoxpro hardware exists—it fixes the relative position between the smartphone and the oral cavity to ensure consistent shooting angles every time, allowing the AI to accurately compare changes over different periods. Without this standardization, angle variations in casual selfies would render the analysis meaningless.

Can orthodontic clinics in international markets adopt this tool?

The product serves over 50 countries, though local regulatory approvals and regional distributors should be verified with the official team. Clinics must also consider patient acceptance; requiring patients to regularly self-shoot and upload photos may lead to varying execution rates depending on local cultural attitudes toward compliance.