Case Study - AI-Generated Dental Simulation

Our client, Tasty Tech, was an organically growing start-up with a first-generation product in the dental space, and their product-market fit was validated. Read more.

Case Study - AI-Generated Dental Simulation
Written by TechnoLynx Published on 10 Nov 2020

Problem

Our client, Tasty Tech, was an up-and-coming start-up in the dental industry. They had successfully launched their first-generation product, which had already found a good fit in the market. The product was well-received, but it had one significant drawback: it required too much manual tuning from the users. This meant that dental professionals had to spend more time than desired fine-tuning the results, which could be cumbersome and time-consuming. The client recognised the need to enhance their product, and they wanted to develop a second-generation version that would be more automated, easier to use, and still allow for manual adjustments when necessary.

Solution

TechnoLynx began working with Tasty Tech on the second-generation product by focusing on a state-of-the-art model that both parties agreed upon. Our primary goal was to automate as much of the process as possible while maintaining the flexibility needed for manual editing.

We knew that creating a more automated system without compromising quality was essential, so we made careful modifications to the existing model to meet the functional requirements for synthesis.

Early in the project, we achieved satisfactory results, which allowed us to expand the scope of our work. Instead of focusing solely on synthesis, we decided to enhance the entire image processing pipeline. This included not just synthesis but also segmentation, classification, and structural deformation. By addressing these areas, we could create a comprehensive, end-to-end solution for Tasty Tech’s new product.

One of the key tools we used in this project was PyTorch. PyTorch is a powerful framework that is particularly well-suited for projects involving significant research and experimentation. With PyTorch, we could implement the necessary functionality across all parts of the pipeline, including generating images that were realistic and accurate for dental simulations.

While PyTorch was an excellent choice for the research phase, we did encounter some challenges during the delivery phase, where TensorFlow might have offered more optimised solutions. However, the flexibility of PyTorch allowed us to explore new ideas and test various approaches, leading to continuous improvements in the project.

Our team executed a series of experiments, drawing on both established methods and novel concepts that had not been previously applied in this context. This experimentation laid the foundation for an iterative improvement model, which we used to manage the project. By continuously refining the pipeline, we could deliver gradual improvements on an on-demand basis, ensuring that the final product met the high standards required by Tasty Tech.

Result

The result of our collaboration with Tasty Tech was a fully functional, end-to-end pipeline that greatly enhanced their dental simulation product. This new system featured a clear yet flexible roadmap, allowing for ongoing improvements based on the latest research and innovative ideas.

The AI-generated images produced by the system were of high quality, vibrant, and realistic, making them ideal for use in various settings, from marketing materials to practical applications in dental practices.

TechnoLynx didn’t just stop at delivering the required functionality. We also supported Tasty Tech in protecting the novel intellectual property (IP) created during this research and development project. This step was crucial in ensuring that Tasty Tech could safeguard their innovations and maintain a competitive edge in the market.

The project culminated in the successful launch of “Dentrino On-Demand,” the second-generation product that had graduated from its beta phase. This advanced dental simulation tool is now available on Dentrino’s official website, offering dental practitioners a powerful AI-generated smile makeover simulation. The system is designed to help dental professionals create realistic and appealing simulations of potential dental treatments for their patients.

With this new tool, dental practices can offer more accurate and visually appealing simulations, improving patient satisfaction and helping them make informed decisions about their treatment options. The AI image generator produces high-quality images based on text prompts, allowing dental professionals to quickly generate images that match specific patient needs.

The versatility of this new tool means it can be used in a wide range of applications, from educating dental students to creating marketing materials for dental practices. The vibrant colours and realistic textures of the AI-generated images make them perfect for use on social media, helping dental practices showcase their work and attract new patients. Whether for training or marketing, the tool’s ability to generate high-quality images from text descriptions is invaluable.

In summary, TechnoLynx helped Tasty Tech transform their original product into a state-of-the-art dental simulation tool that offers enhanced automation, higher quality, and greater flexibility. The AI-generated images produced by the system are not only practical for dental simulations but also valuable for marketing and educational purposes, making “Dentrino On-Demand” a comprehensive tool for modern dental practice.

Here is Dentrino’s official website to review the project!

Dental Simulation - Example 1
Dental Simulation - Example 1
Dental Simulation - Example 2
Dental Simulation - Example 2
Dental Simulation - Example 3
Dental Simulation - Example 3

cover image: Freepik

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