STUDY OBJECTIVES AND METHODS

The purpose of this study was comprehensively analyse recent studies on the application of artificial intelligence (AI) in dental implantology. The PRISMA guidelines were followed. Five databases were accessed: Scopus, Web of Science, MEDLINE/
PubMed, IEEE Xplore, and JSTOR. Documents published between 2018 and October 15, 2024 relating to AI and implantology were considered. Exclusions encompassed reviews, opinion articles, books, conference references, studies using AI as a supplementary method, AI for teaching implant dentistry, and AI for implant fabrication, prothesis, or design.

RESULTS

• A total of 120 relevant papers were included. Risk of bias was assessed using PROBAST.
• Findings demonstrated extensive utilization of AI in various aspects of dental implantology: guided surgery, diagnosis, classification of oral structures, bone classification, classification of dental restorations, implant classification, implant planning, and implant prognosis.
• Deep learning algorithms were employed in 89.2% of studies, predominantly utilizing image data (72.0% two-dimensional images and 28.0% three-dimensional images).
• Publications doubled in 2022 compared to the previous year and have remained consistent since.
   

CONCLUSIONS

Despite growth, the field remains relatively underdeveloped. However, with advancements in technology and data quality, substantial progress is anticipated in forthcoming years. Remarkably, 11 studies were found to have a high risk of bias.

Adapted from G Vázquez-Sebrango et al., Int J Oral Maxillofac Surg. 2025 May 28:S0901-5027(25)00118-3, for more info about this publication, click HERE.

This review is part of the Straumann "Scientific Highlights Newsletter 3/25".

More studies:

• Comparative evaluation of osteoblastic cell adhesion on titanium and titanium zirconium alloyed implants using confocal microscopy: An in vitro study 
• Contemporary Digital Dentistry for Complex Cases in the Anterior Maxilla 
• 30 years of enamel matrix derivative: Mimicking tooth development as a clinical concept 
• Accuracy of two static computer-assisted implant surgery systems in partially edentulous patients: A randomized clinical trial using intraoral scan data 
• A Systematic Review on Immediate Implant Placement in Intact Versus Non-Intact Alveolar Sockets