Clinical and Radiographic Outcomes of Different Root Canal Obturation Materials in Primary Teeth: A Retrospective Observational Study. [PDF]
Sankpal PS +5 more
europepmc +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
Orthodontics-Assisted Autogenous Tooth Transplantation for Maxillary Incisor Injury in Pediatric Patient With Crowding and Class II Malocclusion: A Case Report. [PDF]
Nguyen NT, Tran HT, Truong NM.
europepmc +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
Prevalence of Apical Periodontitis and Its Association With Missed Canals and the Quality of Endodontic Filling Using Cone-Beam Computed Tomography (CBCT). [PDF]
Jarjour FF +6 more
europepmc +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
Clinical and radiographic outcomes of second molars with external root resorption following impacted third molar removal: a retrospective CBCT-based cohort study. [PDF]
Yao B, Qiu S, Wang C, Ling Q, Ma N.
europepmc +1 more source
What If the External Crown Surface of Teeth Could Predict the Pulp Chamber? A DeepSDF‐Based Approach
ABSTRACT Aim Spatial localisation of the pulp chamber is critical for safe and effective dental treatments. This study aimed to assess the performances of DeepSDF models to predict the 3D pulp chamber space and cervical line of molars using only external crown surfaces.
Elias Walter +12 more
wiley +1 more source

