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Performance and Time Efficiency of Artificial Intelligence-Based Programs for the Automatic Design of Occlusal
Marta Revilla-León1,2, Abdul Basir Barmak3, John C Kois2
1Department of Restorative Dentistry, Department of Prosthodontics, Tufts University, Boston, Massachusetts, USA.
Objective:
To evaluate the accuracy and time efficiency of artificial intelligence (AI)-based programs for designing occlusal devices and tooth-supported restorations.
Material And Methods:
A search was completed in 5 databases: PubMed/Medline, Scopus, Embase, Web of Science, and Cochrane. A manual search was also conducted. Studies evaluating the accuracy and time efficiency of commercially available AI-based programs for designing occlusal devices, inlays, onlays, and tooth-supported crowns and fixed dental prostheses (FDPs) were included. Two investigators evaluated the studies independently using the Joanna Briggs Institute critical appraisal. A third examiner was consulted to resolve a lack of consensus.
Results:
Twenty-four studies were included: 21 evaluated single crowns (including three assessing finish-line location accuracy), two investigated inlays/onlays, one assessed occlusal device designs, and one evaluated the accuracy of AI-generated 3-unit fixed dental prostheses (FDPs). Additionally, four of the 21 studies examined the time efficiency of AI-based design software.
Conclusions:
Across all studies, AI-based programs consistently demonstrated shorter design times than conventional workflows. AI-based program performance varied by restoration type. However, the available evidence was limited and characterized by substantial heterogeneity. Therefore, further well-designed studies are required before definitive conclusions can be drawn regarding the performance of these AI-based programs.