Blog

Stay up to date with the latest "News"

95 % F-score in teeth recognition on periapical X-rays using Faster R-CNN

A RelationBased Framework for Effective Teeth Recognition on Dental Periapical XRays Authors: Kailai Zhang, Hu Chen, Peijun Lyu, Ji Wu Summary This study from Tsinghua University and Peking University...

AI auto-positioning of the dental arch in panoramic radiography

A Convolutional Neural NetworkBased AutoPositioning Method for Dental Arch in Rotational Panoramic Radiography Authors: Xin Du, Yi Chen, Jun Zhao, Yan Xi Summary Dental panoramic radiography (DPR) is...

AI framework for automatic tooth numbering and charting in dental radiographs

A Comprehensive Artificial Intelligence Framework for Dental Diagnosis and Charting Authors: Tanjida Kabir, ChunTeh Lee, Luyao Chen, Xiaoqian Jiang, and Shayan Shams Summary Kabir et al. proposed a co...

Osteoporosis detection using AI and Panoramic radiographs

A Comprehensive Study on Feature Types for Osteoporosis Classification in Dental Panoramic Radiographs Authors: Mohammad A. Alzubaidi and Mwaffaq Otoom Department of Computer Engineering, Yarmouk Univ...

AI-Base Dysphagia Prediction using Panoramic

A Basic Study for Predicting Dysphagia in Panoramic Xray Images Using Artificial Intelligence (AI)—Part 1: Determining Evaluation Factors and Cutoff Levels Authors: Yukiko Matsuda, Emi Ito, Migiwa Kur...

3D Tooth Segmentation and Labeling Using Deep Convolutional Neural Networks

3D Tooth Segmentation and Labeling Using Deep Convolutional Neural Networks Authors: Xiaojie Xu, Chang Liu, and Youyi Zheng Summary This study introduces a fully automated deep learningbased framework...

3D maxilla auto segmentation with CBCT using AI

3D morphometric quantification of maxillae and defects for patients with unilateral cleft palate via deep learningbased CBCT image autosegmentation Authors: Xiaoyu Wang, Matthew Pastewait, TaiHsien Wu...

3D cephalometric landmark detection using AI

3D cephalometric landmark detection by multiple stage deep reinforcement learning Sung Ho Kang, Kiwan Jeon, Sang‑Hoon Kang & Sang‑Hwy Lee3 Summary Manual landmarking in 3D cephalometry is accurate, bu...