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Designing CAD/CAM Surgical Guides for Maxillary Reconstruction Using an In-house Approach

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Accuracy and time efficiency of deep learning-based method for single-crown design compared with a conventional CAD

Luisa Madeira Lemos¹, Anne Kaline Claudino Ribeiro², Belmiro Cavalcanti do Egito Vasconcelos³

¹Postgraduate student, Department of Dentistry, Federal University of Rio Grande do Norte (UFRN), Natal, Rio Grande do Norte, Brazil.

The Journal of Prosthetic Dentistry

|November 8, 2025

Summary

Deep learning (DL) software improves single-tooth crown design accuracy and efficiency compared to traditional CAD systems. This advancement significantly reduces working time while maintaining or enhancing restoration contour and finish line precision.

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Area of Science:

Dental Technology
Artificial Intelligence in Dentistry
Digital Dentistry

Background:

Designing dental restoration contours is traditionally labor-intensive.
Computer-aided design and computer-aided manufacturing (CAD-CAM) systems automate aspects of crown design.
The comparative accuracy of deep learning (DL) versus conventional CAD for single-tooth crowns is not well-established.

Purpose of the Study:

To systematically review and compare the accuracy and time-efficiency of DL-based software versus conventional CAD systems for single-tooth crown design.
To evaluate the performance of DL in reproducing occlusal morphology and finish line details.

Main Methods:

A systematic review adhering to PRISMA guidelines was conducted.
Searches across 5 databases up to July 2025 identified in vitro studies.
Studies compared DL software with conventional CAD for single-tooth crown reconstruction and worktime; methodological quality was assessed using MINORS.

Main Results:

Seven studies met inclusion criteria.
DL-based software demonstrated superior or comparable accuracy in contour design and finish line detection versus conventional CAD.
Internal fit discrepancies were clinically acceptable (55.4–83.1 µm); DL significantly reduced working time (P<.05).

Conclusions:

DL-based software offers enhanced accuracy for occlusal morphology and finish line design in single-tooth crowns.
DL systems significantly decrease the time required for crown design compared to conventional CAD.
DL represents a promising advancement for efficient and accurate digital dentistry workflows.