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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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USE OF ARTIFICIAL INTELLIGENCE FOR AUTOMATION OF DIAGNOSTICS AND TREATMENT PLANNING IN PROSTHODONTICS

Authors: Mubinova Mokhinabonu Otabekovna;

USE OF ARTIFICIAL INTELLIGENCE FOR AUTOMATION OF DIAGNOSTICS AND TREATMENT PLANNING IN PROSTHODONTICS

Abstract

The rapid development of digital technologies has opened new horizons in prosthodontics. In particular, artificial intelligence (AI) shows promise for automating diagnostic procedures, optimizing prosthetic design and treatment planning, and improving treatment predictability. This paper reviews current applications of AI in prosthodontics, analyzes their effectiveness, discusses main limitations and ethical concerns, and proposes directions for future research. We hypothesize that AI-assisted workflows can significantly enhance diagnostic accuracy, reduce time and human error, and enable personalized prosthetic treatment planning.

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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
Average
Average