Results 171 to 180 of about 11,620 (256)
ABSTRACT Objective This study aimed to identify the variables associated with full‐text access rates in studies published in Periodontology and Implantology. Methods A bibliometric analysis was performed by reviewing the 30 top‐ranking journals in Dentistry, Oral Surgery and Medicine.
Betina Dutra Lima +5 more
wiley +1 more source
ABSTRACT Objective This retrospective analysis aimed to evaluate the clinical changes and survival rate of first and second molars with furcation involvement (F‐Inv) grades II and III after completion of non‐surgical active periodontal therapy (APT) and subsequent supportive periodontal therapy (SPT), with a minimum follow‐up period of 14 years ...
Ayisha Gangadin +2 more
wiley +1 more source
Determinants of Dental Infection Control Costs: A Survey‐Based Multi‐Centre Analysis
ABSTRACT Objectives This study investigated whether variations in costs related to dental infection control (DIC) practices exist depending on the characteristics of dental institutions. Methods Data were collected via surveys administered to 20 dental institutions (357 dental staff members) between April and May 2020.
Na‐Young Lee, Han‐Na Kim
wiley +1 more source
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 Aim To develop a streamlined software workflow for converting cone‐beam computed tomography (CBCT) data into augmented reality (AR) and virtual reality (VR) formats, and to evaluate dental practitioners' perceptions of these advanced visualisation modalities compared to conventional CBCT analysis for endodontic treatment planning.
Marcel Reymus +3 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 Background Hypercementosis is a non‐neoplastic condition characterized by excessive cementum deposition along the root surface, resulting in altered apical morphology. Although often asymptomatic and detected incidentally on radiographs, changes in apical contour may influence anatomical complexity in endodontic treatment.
Carlos Segura‐Raya +3 more
wiley +1 more source
Endodontic-sinus communications: a 10-year retrospective observational study on maxillary posterior teeth. [PDF]
Bugea C +7 more
europepmc +1 more source

