The team, led by Dr James Tsoi, Associate Professor in Dental Materials Science collaborated with colleagues from HKU Faculty of Engineering’s Department of Computer Science to take a leap forward for the next-generation AI-designed dental prosthesis production workflow.
The researchers developed a generative AI algorithm that uses a true three-dimensional (3D) deep learning approach, producing personalised dental crowns with high accuracy that mimic the morphology and match the materials required for the biomechanics of natural teeth. Biomechanical finite element analysis revealed that by using lithium silicate, the AI-designed crown can come very close to achieving the expected lifespan of natural teeth. In contrast, the two existing methods of designing dental crowns result in crowns that are either too large or too thin, and fall short of matching the same lifespan as natural teeth.
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