Results 151 to 160 of about 3,125,154 (285)
ABSTRACT Aim Artificial intelligence (AI) has the potential to aid clinicians in assessing case difficulty in endodontics. The objectives of this study were to develop and validate deep learning models for the detection of clinically negotiable MB2 canals in periapical images of maxillary first and second molars, and to compare the performance of AI ...
Seyed AmirHossein Ourang +8 more
wiley +1 more source
Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis
ABSTRACT Aim Postoperative pain is a frequent clinical concern following endodontic treatment. This study aimed to develop and validate supervised machine learning models to predict the occurrence of postoperative pain in cases of irreversible pulpitis.
Pedro Felipe de Jesus Freitas +9 more
wiley +1 more source
ABSTRACT Background Computer vision methods based on artificial intelligence (AI) have found numerous applications in endodontic diagnosis and treatment planning. While most current applications employ discriminative deep learning models for detection and classification tasks, the field is now witnessing the rise of generative AI (GenAI), a class of AI
Hossein Mohammad‐Rahimi +6 more
wiley +1 more source
ABSTRACT Aim Apical periodontitis (AP) diagnosis primarily relies on periapical radiographs (PRs) and the Periapical Index (PAI) scoring system. However, existing automated approaches often simplify PAI into binary categories or ignore essential clinical metadata, limiting diagnostic performance and applicability.
Jiyun Lee +3 more
wiley +1 more source
Influence of periapical lesion volume on the radiodensity of surrounding bone: A CBCT study
Aim: This study assesses if the size of periapical lesions has an effect on the bone immediately peripheral to an apical lesion. Methods: Cone-beam computed tomography (CBCT) images of 271 periapical lesions were analyzed using Mimics Research™ to ...
Boubaris, Matthew +3 more
core +1 more source
Extended Reality in Endodontics: A Review of Current Applications and Future Potential
ABSTRACT Background Extended reality (XR) technologies, encompassing augmented reality (AR), virtual reality (VR), and mixed reality (MR), are increasingly used in endodontic education and practice. A gap exists regarding understanding of XR's applications and limitations among endodontic educators and practitioners.
Seyed AmirHossein Ourang +6 more
wiley +1 more source
Impact of Root Canal Filling Quality on Periapical Status and Root Resorption in Orthodontically Treated Teeth: A Retrospective Radiographic Study. [PDF]
Çelik D, Neccaroğlu A, Başer B.
europepmc +1 more source
ABSTRACT Background Panoramic radiographs are used routinely to screen dental conditions and treatment patterns. Recently, numerous studies have suggested that deep learning (DL) models can be utilized for analysing panoramic radiographs. Objective This review aimed to evaluate the accuracy of DL models in detecting periapical radiolucent lesions (PRLs)
Ibrahim Ali Ahmad +3 more
wiley +1 more source
The prevalence of root canal treatment, periapical status, and coronal restorations in elderly patients in the Polish population. [PDF]
Pietrzycka K +3 more
europepmc +1 more source
ABSTRACT Objectives To assimilate data from individual randomised trials and perform a pooled analysis of short‐term outcomes of pulpotomy compared with root canal treatment (RCT) for teeth with symptomatic irreversible pulpitis (SIRP). Methods Randomised trials were conducted in eight countries using a standardised clinical protocol and outcome ...
I. A. El Karim +16 more
wiley +1 more source

