PulseTrendingJournal ClubResearchersJournalsExplore
Instagram
HomeTrendingJournal ClubExplore
Synapse
⌘+K
Synapse
September 28, 2025BMC Oral HealthOpen Access

Enhanced diagnostic pipeline for maxillary sinus-maxillary molars relationships: a novel implementation of Detectron2 with faster R-CNN R50 FPN 3x on CBCT images

View Full Paper
Ask AI
Bookmark
Share

Authors

MÖMehmet Özgür ÖzemreJBJale BektaşHYHüseyin Yanık

Discussion

Loading...

Member takes

Overview

This novel approach improves maxillary molar classification accuracy using AI, suggesting benefits for surgical planning.

Key Points

  • AI-driven model achieved 89% accuracy in classifying maxillary sinus and molars relationships.
  • Significant reduction in workload and faster results help enhance preoperative risk assessment in dental surgery.
  • The technology assists in early detection of maxillary sinus pathologies, improving overall patient safety.
  • Integration of advanced image recognition can enhance clinical decision-making in oral and maxillofacial surgery.

Cite This Study

Özemre et al. (2025) studied this question.

synapsesocial.com/papers/68d90bc941e1c178a14f71f1https://doi.org/10.1186/s12903-025-06337-z
View Full Paper
Ask AI
Bookmark
Share