New AI-Enhanced Orthodontic Tool Helps Correctly Fit Braces

DENMARK: The University of Copenhagen, in collaboration with 3Shape, is pioneering a revolutionary tool that promises to transform orthodontic treatment. Harnessing the power of artificial intelligence (AI) and virtual patients, this innovative tool aids orthodontists in accurately fitting braces onto teeth, ensuring optimal results without unnecessary discomfort.

Enhancing Braces Fitting Process

Traditionally, orthodontists rely on their expertise and experience to adjust braces, a process often involving trial and error. However, the new tool leverages AI and virtual simulations to predict how teeth will move, guiding orthodontists in designing braces that apply the right amount of pressure for effective straightening without undue inconvenience.

Professor Kenny Erleben from the University of Copenhagen’s Department of Computer Science highlights the significance of this advancement, stating, “Our simulation is able to let an orthodontist know where braces should and shouldn’t exert pressure to straighten teeth.” This technology aims to reduce the need for multiple adjustments and visits to the orthodontist, streamlining the treatment process for patients.

AI is changing the face of orthodontics

Predicting tooth movement accurately poses a significant challenge due to variations among individuals and the dynamic nature of teeth shifting throughout life. 

Torkan Gholamalizadeh, from 3Shape, emphasizes the complexity of this task, especially with the rising popularity of clear aligners as an alternative to traditional braces. The new tool accounts for factors such as the softness of aligners, ensuring precise predictions of tooth movements even with these advanced orthodontic appliances.

Digital Twins for Personalized Treatment

Researchers have developed a sophisticated computer model capable of creating accurate 3D simulations of individual patients’ jaws. By mapping teeth and bone structures from detailed CT scans, this model, often referred to as a “digital twin,” enables dentists and technicians to plan personalized treatments effectively.

This digital twin concept extends beyond orthodontics, offering potential applications in various healthcare sectors. Professor Erleben envisions a future where digital twins simulate treatments and adapt medical devices to target patients more precisely across entire populations, potentially revolutionizing healthcare delivery.

Before the tool can be widely implemented, it must navigate regulatory hurdles. However, researchers are optimistic about its potential to enhance orthodontic care and improve patient outcomes. 

The tool’s development is part of the EU research project Rainbow, a collaborative effort across seven European universities aimed at advancing computer-simulated medicine.

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