The Dental Loop Chatbot was developed as a real-time, evidence-based guidance system for dental practitioners using a fine-tuned large language model (LLM) and Retrieval-Augmented Generation (RAG). This paper outlines the development and preliminary evaluation of the chatbot as a scalable clinical decision-support tool designed for resource-limited settings. The system’s architecture incorporates Quantized Low-Rank Adaptation (QLoRA) for efficient fine-tuning, while dynamic retrieval mechanisms ensure contextually accurate and relevant responses. This prototype lays the groundwork for future triaging and diagnostic support systems tailored specifically to the field of dentistry.
Research focusing on unsupervised segmentation of individual teeth from three-dimensional scans of the dental arch.
Application of 3D neural networks and explainable AI techniques to classify dental conditions.
Research on applying 3D Vision Transformers and Explainable AI techniques to challenges in prosthetic dentistry.