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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Dental Robotics - The Future of Dentistry - A Narrative Review

Authors: International Journal of Dental Science and Innovative Research (IJDSIR);

Dental Robotics - The Future of Dentistry - A Narrative Review

Abstract

Abstract Robots were introduced during the Industrial Revolution as supportive tools to assist human labour. In the dental field, the application of robotics began as early as 1967, when Jenkins first introduced their use. The integration of robotics in dentistry is steadily advancing, supported by essential technologies that are both adaptable and capable of further development. Dental robots offer exceptional precision in performing procedures, significantly reducing the margin for error—especially in complex treatments such as dental implant placement and root canal therapy. By automating various aspects of dental care, robotics helps minimize human error, leading to more consistent and predictable outcomes, fewer complications, and a reduced need for corrective procedures. Meanwhile, artificial intelligence (AI) supports accurate diagnosis, effective treatment planning, and better prediction of patient outcomes. There are several obstacles to this technology like technological advancements in medical/dental applications are extremely expensive, less patient acceptance and compliance among dentists, the motivation to receive such treatment is reduced with the increase in technique invasiveness. Another reason robotics is still considered a field of low interest in dentistry may be the lack of expert knowledge to program and control those systems as a non-professional. However, challenges like high costs, complex operability, limited sensory perception, and inadequate manipulation capabilities still hinder widespread adoption of robotics in dentistry.

Keywords

Artificial Intelligence, Artificial Neural Networks, Prediction, Robots

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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