The article also highlights the potential of AI in dental research, such as identifying specific strains of bacteria linked to systemic diseases like Parkinson's and Alzheimer's. The author emphasizes the need for AI models that can analyze comprehensive datasets to develop personalized treatment plans for oral and associated systemic conditions. However, for AI to disrupt the current state, existing business models and incentive structures need to adapt. The author plans to discuss the beneficiaries of AI in dentistry in the second part of the series.
Key takeaways:
- The AI Impact Matrix, developed by Mariya Filipova and Harvard School of Dental Medicine Dean William Giannobile, is a tool to understand the usefulness of AI models in healthcare, particularly dentistry.
- AI models can be categorized into three types based on their impact: those that optimize existing processes, those that transform care, and those that disrupt the current state altogether.
- AI has the potential to revolutionize dentistry by automating manual processes, integrating with existing workflows to improve patient care, and even predicting disease from saliva samples or vocal biomarkers.
- The adoption and success of disruptive AI models require existing business models and incentive structures to adapt, and understanding who benefits from these models is crucial.