PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 26, 2026Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & ImagingOpen Access

Artificial Intelligence in Dental Radiology: A Multi-modality Systematic Review

View Full Paper
Ask AI
Bookmark
Share

Authors

SSSaba SarwarSJSuraiya JabinMKMandeep Kaur

Discussion

Loading...

Member takes

Overview

Systematic review evaluates AI's role in enhancing dental imaging diagnostics, suggesting future opportunities.

Key Points

  • The aim is to analyze and bridge the gap between AI advancements and their practical applications in dental radiology.
  • Conducted a systematic review of AI applications in cephalometric radiography, OPG, and CBCT
  • Analyzed various AI models such as CNNs, U-Net, and hybrid models
  • Examined issues of dataset shortage, model generalizability, and clinical validation
  • AI-based models significantly improve diagnostic accuracy in caries and cyst detection in OPGs
  • Deep learning enhances complex tasks in CBCT, such as airway detection and implant planning
  • Identifies critical need for future studies to address current limitations in AI applications.

Cite This Study

Sarwar et al. (2026) studied this question.

synapsesocial.com/papers/6a3e1a3d030ad1a9b3092bafhttps://doi.org/10.1055/s-0046-1823681
View Full Paper
Ask AI
Bookmark
Share