Abstract

Dental tissue engineering aims to regenerate damaged or lost teeth and oral structures using a combination of biomaterials and cells. Artificial Intelligence (AI) has the potential to revolutionize this field by:
Optimizing biomaterial design: AI can analyze vast datasets to identify materials with ideal properties for promoting cell growth and differentiation, leading to stronger and more functional dental tissues.
Predicting cell behavior: AI algorithms can analyze cell behavior under different conditions, guiding the selection and manipulation of stem cells for targeted dental tissue regeneration.
Personalizing treatments: AI can analyze patient-specific data (e.g., genetics, medical history) to design personalized dental tissue engineering strategies, improving treatment efficacy.
Automating processes: AI can automate tasks like image analysis and data processing, streamlining workflows and accelerating research and development in dental tissue engineering. This integration of AI holds immense promise for advancing dental tissue engineering, ultimately leading to more effective and personalized treatments for patients with tooth loss or other oral tissue defects.