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A Conceptual Framework for Integrated and Collaborative Orthodontic AI.

Lucas Krenmayr^1,2

¹University of Ulm and University of Applied Sciences, Ulm, Germany.

Studies in Health Technology and Informatics

|July 3, 2026

Summary

This study introduces a framework to integrate artificial intelligence (AI) into orthodontics, addressing fragmented adoption by combining data privacy, multimodal intelligence, and human-AI collaboration for a deployable clinical system.

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Area of Science:

Biomedical Engineering
Computer Science
Dental Medicine

Background:

Artificial Intelligence (AI) offers potential benefits for orthodontic tasks.
Clinical adoption of AI in orthodontics is currently fragmented and inconsistent.

Purpose of the Study:

To present a multi-layered framework for integrating AI into orthodontic clinical workflows.
To address challenges in AI adoption, including data governance, system integration, and user trust.

Main Methods:

Development of a structured design blueprint for a coherent AI ecosystem.
Integration of privacy-preserving data infrastructure.
Incorporation of multimodal intelligence and human-AI collaboration.

Main Results:

Keywords:

Artificial Intelligence Conceptual Framework Orthodontics

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A comprehensive framework blueprint designed for clinical deployment.
A system addressing key barriers to AI integration in orthodontics.
Enhanced potential for a unified and effective AI-driven orthodontic practice.

Conclusions:

The proposed framework facilitates the integration of isolated AI tools into a cohesive orthodontic ecosystem.
Addressing governance, integration, and trust is crucial for successful clinical AI adoption.
This approach aims to overcome fragmentation and promote widespread AI utilization in orthodontics.