Generative AI ‒ tremendous potential for automation
and new applications in personalized medicine
Generative Artificial Intelligence, or GenAI, is characterized as an AI model that not only responds to existing data but also has the capability to generate novel data or content. Through the analysis of training sets, these models can identify patterns and use this knowledge to create new data. This form of AI is especially advantageous and prominent in the realms of image and text generation. We actively support and contribute to this transformative advancement.
The applications of GenAI extend to diverse fields such as computer-generated implants, customized tool models, or the reconstruction of resected bones derived from CT scans. The output is automatically transformed into a CAD mode. In comparison to standard AI algorithms, the automation of planning processes can be markedly enhanced with the integration of Gen AI. This results in a streamlined workflow, enabling a direct progression from imaging to the development of a finalized product plan.
Embracing GenAI represents a crucial step towards efficiency and innovation in various domains. At Chimaera, we are already using Generative AI in orthopedics and dentistry to improve the quality of plans and personalized implants.
Advantages at a glance:
- Significantly reduces planning times
- Allows quick previews so that the medical expert can see how the implant would fit on the patient
- Ensures consistent quality through AI-supported planning and planning suggestions
- Plausibility checks of manual planning based on large data pools (does the planning make sense with regard to the last 1000 cases?)
Our experience has shown that the potential benefits become evident to our clients shortly after implementation. It is therefore essential for us to seamlessly integrate this new technology into our clients’ operations, facilitating a gradual transition without completely overhauling current processes. Ultimately, successful implementation relies on seamless collaboration between experienced staff and AI-generated process outputs.
The video shows an AI-generated implant that is patient-specific and automatically placed in a resected bone. This significantly reduces planning time. The generated CAD model can be further customized by a medical expert.
Interesting papers on Generative AI
Find out more about the latest developments and research results in the field of GenAI at the following sites:
- Language Models are Few-Shot Learners (https://arxiv.org/abs/2005.14165)
- Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers
(https://arxiv.org/abs/2311.10242)
- Denoising Diffusion Probabilistic Models (https://hojonathanho.github.io/diffusion/)