Artificial Intelligence in Dental Practice – Software Functionality Development.
The IT revolution has arrived in dentistry. Artificial intelligence is beginning to manage workflows, analyze data, and assist clinicians in ways traditional software never could. In this post, we dive into how AI agents are changing dental practice, the current capabilities already in use, and the exciting future of smart, process-driven clinics.
1.
Introduction.
Let’s first recall the recent cloud revolution, when cloud solutions began to replace desktop applications. What changed in cloud functionality? From the perspective of automating basic dental processes, not much has changed – cloud software still provides the same features for organizing clinic office work and automating treatment processes. What was new at that time was the simple integration with other services, which primarily expanded patient communication functionality.
Now the question is: what will artificial intelligence – the current IT revolution – change? We started with patient-related tasks and so far see that over the past 10 years, the core tasks in dental practice have not increased. We are talking about our average client – a dental practice with 3–5 chairs.
2.
Here, three scenarios of change emerge:
First Scenario:
Create new functionality that solves a task. Here, we are talking about micro-functions, such as task management. What exactly these functions will be is not yet fully clear to us.
For example, implementing practice management in a messenger (OpenClaw), where the doctor can ask questions or assign tasks in a chat window and see their schedule in the same interface.
Second Scenario:
If the existing software functionality already solves the client’s task, we can simply replace the current implementation with faster, more convenient, higher-quality digital solutions. There are functional improvements, and sometimes they are noticeable. Users can be offered a “Functions with AI” subscription.
An example is Intelligent Clinical Notes, which collect information from different parts of the program database (and can possibly integrate other data sources). These notes are generated automatically, which is their main advantage. Nevertheless, the basic note-taking functionality is not new.
Software Functionality.
Extended Description.
AI Agent / Description.
Sign up
User registration in the system with basic data verification and role assignment.
Account Setup Agent – suggests optimal roles and permissions based on clinic type, provides recommendations for secure setup.
Light/Dark Mode
Switches the interface between light and dark themes.
Security Agent – monitors suspicious activity and automatically recommends protective actions.
2-Step Authorization (2FA)
Two-factor authentication for account security.
Models likely cancellations and suggests optimal slots for new patients.
Role-Based Access Control
Assigns user permissions based on roles.
Role Management Agent – analyzes staff workload and suggests optimal distribution of access rights.
Appointments
Create, view, and edit patient appointments.
Scheduling Agent – predicts optimal appointment slots considering cancellations, patient history, and staff availability.
Doctors Availability
Manage doctors’ availability for appointments.
Scheduling Agent – dynamically adjusts schedule, suggests rescheduling or redistribution of appointments.
Questionnaire & Consent
Create and complete patient questionnaires and consents.
Clinical Notes Agent – automatically gathers questionnaire data and integrates it with patient history for analytics.
Follow-Up Visits / Recalls
Reminders for follow-up visits and check-ups.
Communication Agent – sends personalized reminders via SMS, email, or messenger; conducts interactive dialogue to confirm appointments.
Follow-Up on Invoices
Payment tracking and reminders for invoices.
Financial Analytics Agent – predicts payment delays, automatically notifies patients, and optimizes invoice management.
Patients Vitals
Recording and storing patients’ vital signs.
Clinical Notes Agent – collects data, detects anomalies, and integrates with patient history.
Patients Procedures
Recording results of clinical examinations.
Diagnostic Agent – analyzes exam data, provides insights, highlights potential risks.
Dental Chart
Maintaining a patient’s dental chart.
Data Analysis Agent – automatically visualizes dental status, identifies anomalies, and suggests actions.
Periodontal Chart
Maintaining a periodontal chart.
Clinical Notes Agent – integrates data with other clinical indicators for analysis and forecasting.
Clinical Note
Manual entry of notes during the appointment.
Intelligent Clinical Notes Agent – aggregates information from multiple sources, creates structured recommendations.
Invoices & Payments
Creating and managing invoices, tracking payments.
Financial Analytics Agent – forecasts payments, identifies risk of delays, generates patient notifications.
Invoice Installments
Managing installment payments.
Financial Analytics Agent – suggests optimal installment plans, monitors payment completion.
File Storage
Storing patient files, documents, and images.
Data Quality Agent – checks completeness and correctness of uploads, flags missing or duplicate files.
Work with X-Rays
Uploading and viewing X-ray images.
Imaging Analysis Agent – detects pathologies, marks areas of concern, integrates results with clinical notes.
Ortho Composite View
Visualization of orthodontic data and images.
Imaging Analysis Agent – combines data, generates predictive insights, and provides treatment recommendations.
Third Scenario:
Integrating Functionality into Processes Managed by AI Agents. An example could be a virtual assistant that “thinks” in terms of processes from start to finish, rather than just functions.
For now, we are refraining from providing specifics, as we are still in the stage of developing our approaches. What is clear at this point is that AI will act as a separate computational layer within dental software. It will take various visual forms – chat windows for dialogues, buttons, hint elements – meaning it can be either user-controlled or operate in the background, potentially replacing a staff member.
Scenario Four:
In this scenario, AI works exclusively with data out of context, searching for SOBIXELS — errors that arise from the interaction between software and humans. The result of this scenario is not functionality, but corrections, suggestions, or automatic data entry in various processes of a dental practice.
3.
User Understanding of Changes.
In mid-2025, we conducted a survey among our clients to understand their perception of the value of AI in their practice. At that time, none of our users had formed a clear opinion about artificial intelligence in practice. By early 2026, we began to see innovative users emerging with a clear understanding of which tasks they would like to delegate to AI.
4.
To be continued.
For the first time, we are publishing an unfinished post on our blog so that we can add AI use-case scenarios for your practice here.
