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January 18, 2026Open Access

Artificial Intelligence and Machine Learning in Dentistry: Evidence-Based Perspectives — A Systematic Review

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I(International Journal of Medical Science and Advanced Clinical Research (IJMACR)

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Overview

Systematic review evaluates AI and ML in dentistry, revealing improvements in diagnostic accuracy and patient management.

Key Points

  • This review aims to assess and synthesize the clinical applications and diagnostic performance of AI and ML in various dental specialties.
  • Conducted a systematic search following PRISMA 2020 guidelines across multiple databases.
  • Included English-language studies from January 2019 to December 2024 that utilized AI or ML in dentistry.
  • Applied the QUADAS-2 tool for quality assessment and calculated pooled sensitivity, specificity, and accuracy values.
  • 39 studies met inclusion criteria from an initial 342 identified.
  • AI models achieved a pooled diagnostic accuracy of 92.4%, with sensitivity at 90.1% and specificity at 91.7%.
  • AI outperformed human experts in 68% of comparative studies, with significant improvements in diagnostic sensitivity for image-based tasks.

Cite This Study

International Journal of Medical Science and Advanced Clinical Research (IJMACR) (2025) studied this question.

synapsesocial.com/papers/696c77afeb60fb80d1395e2ahttps://doi.org/10.5281/zenodo.18266028
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