ARTIFICIAL INTELLIGENCE VS CLINICAL EXPERTISE: A COMPARATIVE ANALYSIS OF DIAGNOSTIC EFFECTIVENESS IN MODERN DENTISTRY

This article presents a critical analysis of the current state of research comparing the diagnostic effectiveness of artificial intelligence (AI) systems and dental practitioners. Based on data from systematic reviews, meta-analyses, and original clinical studies published between 2024 and 2026, the achievements and limitations of AI are examined in areas such as cariology, oral mucosal pathology, periodontology, and orthodontics. Particular attention is given to the issue of external validity in existing studies, differences in AI performance depending on the clinician’s experience, and the depth of pathological processes. The study concludes that AI should be considered as a clinical decision support tool rather than a replacement for dental professionals.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-02
DOI
https://doi.org/10.5281/zenodo.19987256
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

ARTIFICIAL INTELLIGENCE VS CLINICAL EXPERTISE: A COMPARATIVE ANALYSIS OF DIAGNOSTIC EFFECTIVENESS IN MODERN DENTISTRY

Maftuna Nosirova, Xonzoda Ravshanbekova, Fayzullo Tulaanbaev
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

ARTIFICIAL INTELLIGENCE VS CLINICAL EXPERTISE: A COMPARATIVE ANALYSIS OF DIAGNOSTIC EFFECTIVENESS IN MODERN DENTISTRY

Maftuna Nosirova, Xonzoda Ravshanbekova, Fayzullo Tulaanbaev
article en

Abstract

This article presents a critical analysis of the current state of research comparing the diagnostic effectiveness of artificial intelligence (AI) systems and dental practitioners. Based on data from systematic reviews, meta-analyses, and original clinical studies published between 2024 and 2026, the achievements and limitations of AI are examined in areas such as cariology, oral mucosal pathology, periodontology, and orthodontics. Particular attention is given to the issue of external validity in existing studies, differences in AI performance depending on the clinician’s experience, and the depth of pathological processes. The study concludes that AI should be considered as a clinical decision support tool rather than a replacement for dental professionals.

Zenodo (CERN European Organization for Nuclear Research)
University of Uyo (NG)
Peace, Justice and strong institutions
Openalex Percentile: Top 9%
Artificial Intelligence in Healthcare and Education
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