
Innovative neural network model excels in automating digital crown designs." A feasibility study developed and evaluated two implicit neural network (INN)-based models for reconstructing biomimetic maxillary molars. The POCO-PointMLP model, trained with 50,000 sample points, showed the best performance with an F-score of 0.92 and volumetric IoU of 0.94. The digital crowns generated by this model were comparable to those created by experienced technicians, demonstrating the potential of AI for dental design.
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