PulseTrendingJournal ClubResearchersJournalsExplore
Instagram
HomeTrendingJournal ClubExplore
Synapse
⌘+K
Synapse
November 13, 2025BioengineeringOpen Access

Diagnostic Support in Dentistry Through Artificial Intelligence: A Systematic Review

View Full Paper
Ask AI
Bookmark
Share

Authors

AIAlessio Danilo InchingoloAIAlessio Danilo InchingoloGMGrazia Marinelli

Discussion

Loading...

Member takes

Overview

Systematic review reports AI enhances diagnostic precision in dentistry, suggesting improved radiographic assessment and clinical decision support.

Key Points

  • AI systems improved diagnostic performance in dentistry, especially in radiographic assessment and identification of malocclusions.
  • Machine learning models were particularly effective in enhancing diagnostic accuracy across diverse dental applications.
  • Observational analysis indicates significant variability in study quality, sample sizes, and methodologies among included studies.
  • Broader adoption of AI in clinical dentistry highlights the need for multicenter trials and external validation to improve generalizability.

Cite This Study

Inchingolo et al. (2025) studied this question.

synapsesocial.com/papers/692523bbc0ce034ddc354953https://doi.org/10.3390/bioengineering12111244
View Full Paper
Ask AI
Bookmark
Share