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December 8, 2025Evidence-Based DentistryOpen Access

AI for dental imaging: impressive in vitro, but what about in practice?

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TEThomas E. Evans

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Overview

Systematic review highlights AI's reliability in dental imaging using CBCT, suggesting clinical studies are needed for practical application.

Key Points

  • To assess the performance of artificial intelligence techniques in enhancing dental imaging accuracy based on in vitro studies.
  • Conducted a systematic review of in vitro studies on AI in dental imaging.
  • Sources include multiple databases and hand-searching for eligible articles.
  • Applied the CONSORT bias tool for quality assessment and extracted various outcome measures.
  • Identified nine studies focusing on Cone Beam Computed Tomography (CBCT) imaging.
  • Meta-analysis showed AI performance superior to reference standards for caries detection and segmentation tasks.
  • Emphasized the need for clinical studies to validate laboratory findings.

Cite This Study

Thomas E. Evans (2025) studied this question.

synapsesocial.com/papers/693624ce4fa91c937236ceb8https://doi.org/10.1038/s41432-025-01198-5
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