Deep learning in periodontology and oral implantology: A scoping review

H Mohammad‐Rahimi, SR Motamedian… - Journal of …, 2022 - Wiley Online Library
Deep learning (DL) has been employed for a wide range of tasks in dentistry. We aimed to
systematically review studies employing DL for periodontal and implantological purposes. A …

Artificial intelligence in periodontology: a scoping review

J Scott, AM Biancardi, O Jones, D Andrew - Dentistry journal, 2023 - mdpi.com
Artificial intelligence (AI) is the development of computer systems whereby machines can
mimic human actions. This is increasingly used as an assistive tool to help clinicians …

Deep-learning approach for caries detection and segmentation on dental bitewing radiographs

IS Bayrakdar, K Orhan, S Akarsu, Ö Çelik, S Atasoy… - Oral Radiology, 2022 - Springer
Objectives The aim of this study is to recommend an automatic caries detection and
segmentation model based on the Convolutional Neural Network (CNN) algorithms in dental …

Detecting the presence of taurodont teeth on panoramic radiographs using a deep learning-based convolutional neural network algorithm

S Duman, EF Yılmaz, G Eşer, Ö Çelik, IS Bayrakdar… - Oral Radiology, 2023 - Springer
Objectives Artificial intelligence (AI) techniques like convolutional neural network (CNN) are
a promising breakthrough that can help clinicians analyze medical imaging, diagnose …

[HTML][HTML] A generative adversarial inpainting network to enhance prediction of periodontal clinical attachment level

VP Kearney, AIM Yansane, RG Brandon… - Journal of Dentistry, 2022 - Elsevier
Objectives Bone level as measured by clinical attachment levels (CAL) are critical findings
that determine the diagnosis of periodontal disease. Deep learning algorithms are being …

Development and validation of an artificial intelligence software for periodontal bone loss in panoramic imaging

H Amasya, PP Jaju, M Ezhov… - … Journal of Imaging …, 2024 - Wiley Online Library
This retrospective study is aimed at developing a web‐based artificial intelligence (AI)
software (DiagnoCat) for periodontal bone loss detection on panoramic radiographs and …

Detection of periodontal bone loss patterns and furcation defects from panoramic radiographs using deep learning algorithm: a retrospective study

S Kurt-Bayrakdar, İŞ Bayrakdar, MB Yavuz, N Sali… - BMC oral health, 2024 - Springer
Background This retrospective study aimed to develop a deep learning algorithm for the
interpretation of panoramic radiographs and to examine the performance of this algorithm in …

Deep learning for classifying the stages of periodontitis on dental images: a systematic review and meta-analysis

X Li, D Zhao, J Xie, H Wen, C Liu, Y Li, W Li, S Wang - BMC Oral Health, 2023 - Springer
Background The development of deep learning (DL) algorithms for use in dentistry is an
emerging trend. Periodontitis is one of the most prevalent oral diseases, which has a notable …

Applying artificial intelligence to detect and analyse oral and maxillofacial bone loss—A scoping review

M Farajollahi, MS Safarian, M Hatami… - Australian …, 2023 - Wiley Online Library
Radiographic evaluation of bone changes is one of the main tools in the diagnosis of many
oral and maxillofacial diseases. However, this approach to assessment has limitations in …

[HTML][HTML] The impetus of artificial intelligence on periodontal diagnosis: a brief synopsis

P Cholan, L Ramachandran, SG Umesh, P Sucharitha… - Cureus, 2023 - ncbi.nlm.nih.gov
The current advances in digitized data additions, machine learning and computing
framework, lead to the swiftly emerging concept of “Artificial Intelligence”(AI), that are …