International Journal of Chemical and Biochemical Sciences (ISSN 2226-9614)[/vc_column_text][/vc_column][/vc_row]
VOLUME 29(23) (2026)
Artificial Intelligence-Assisted and Conventional CAD Software for Occlusal Splint Design: A Narrative Review
Peter Shoukri1*, Amr El-Etreby2, Ghada Abd Elfatah3, Marwa Emam4, Nancy Essam Bahig Rafla5
1*,2,3,4,5Fixed Prosthodontics Department, Faculty of Dentistry, Ain Shams University, Cairo, Egypt.
4 Fixed Prosthodontics Department, Faculty of Dentistry, Galala University, Suez, Egypt.
Abstract
Artificial intelligence (AI) is increasingly integrated into dental computer‑aided design (CAD) workflows, offering automated restoration and occlusal device design with reduced operator input and potentially higher efficiency. In parallel, conventional CAD systems remain the standard for digital occlusal splint fabrication, relying on rule‑driven algorithms, tooth libraries, and virtual articulation to generate splint geometry. Emerging AI‑assisted platforms, such as Medit Splints and 3Shape Automate, extend concepts originally developed for crown design to occlusal splints, automatically generating complete devices from articulated digital models with minimal manual adjustment. However, the extent to which these systems match or exceed established CAD software in terms of geometric accuracy, occlusal morphology, and reproducibility remains unclear. This narrative review summarizes current evidence on AI‑assisted and conventional CAD software for occlusal splint design. Early in vitro data suggest that AI‑generated splints can achieve clinically acceptable intaglio fit and occlusal contact patterns, with precision comparable to technician‑designed or conventionally designed controls. Larger, well‑designed clinical studies are required to determine whether AI‑assisted splint design offers meaningful advantages in clinical performance, patient comfort, and long‑term outcomes beyond gains in efficiency and standardization.
Keywords: Artificial intelligence, Occlusal splints, Computer‑aided design, Digital workflow.
Full length article *Corresponding Author, e-mail: Peter.shoukry.std@dent.asu.edu.eg, Doi # https://doi.org/10.62877/10-IJCBS-26-29-23-10
Submitted: 10-03-2026; Accepted: 10-04-2026; Published: 11-04-2026