frequently asked questions
Retrieval-Augmented Generation (RAG) is an advanced AI approach that enhances traditional models by combining real-time data retrieval with generative AI. Instead of relying only on pre-trained knowledge, RAG dynamically pulls relevant information from trusted sources before generating responses. This method improves accuracy, keeps insights up to date, and ensures that AI-generated answers are contextually relevant—making it especially valuable for fields like healthcare and dentistry, where precision is critical.
At Odontology AI, we take this a step further by prioritizing our proprietary clinical data. Our model is primarily built on decades of published clinical articles and educational materials, written by leading dental professionals. This ensures that every recommendation is grounded in proven, evidence-based dentistry, rather than generic or unverified information.
By combining this trusted knowledge with carefully validated external sources, Odontology AI provides precise, reliable, and clinically relevant support for dental professionals, students, and manufacturers.
No, Odontology AI does not process or store any personal patient data. Our AI model is built on trusted clinical articles, educational materials, and validated external sources—not individual patient records.
If we collaborate with partners who provide data, all information is fully anonymized before integration. This ensures compliance with privacy regulations and maintains the highest standards of data security and ethical AI use in dentistry.
Odontology AI’s database is built from a variety of carefully selected sources, with a strong emphasis on our own proprietary data from DentalMammoth. This data has been written by respected dental professionals over decades and is constantly updated to reflect the latest advancements in the field. Our database contains over 25,000 topics, ensuring that our AI delivers precise, evidence-based insights tailored to the needs of dental professionals, students, and manufacturers.