Results 181 to 190 of about 40,450 (267)

Comprehensive Clinical Evaluation and Risk Indicators for Furcation Involvement in Molars: A Study in a Population With Limited Access to Dental Care

open access: yesInternational Journal of Dental Hygiene, EarlyView.
ABSTRACT Aims To describe the occurrence, extent and severity of furcation involvement (FI) in molars and to evaluate the risk indicators associated with FI. Material and Methods This cross‐sectional study is nested within a representative sample of individuals living in a rural area.
Flávia Letícia Bueno Menk   +5 more
wiley   +1 more source

Generative Artificial Intelligence for Computer Vision in Endodontics: A Review of Current State and Future Potential

open access: yesInternational Endodontic Journal, EarlyView.
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

Outcomes of Root Canal Treatment in Patients With Autoimmune Disease: A Retrospective Case–Control Study

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Aim The purpose of this study was to compare the outcome of nonsurgical root canal treatment (RCT) in patients with autoimmune diseases (AD) with the outcome in patients without AD. The null hypothesis was: there is no difference in the outcomes of RCT regardless of the patient group. Results were also compared among AD subgroups: inflammatory
Seoyeon Lee   +4 more
wiley   +1 more source

Deep Learning Models for Detection of Periapical Radiolucent Lesions on Panoramic Radiographs: A Systematic Review and Meta‐Analysis

open access: yesInternational Endodontic Journal, EarlyView.
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

Histopathologic Validity and Clinical Reliability of Wolters Classification of Pulpitis: An Exploratory Study

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Aim Wolters' classification of pulpitis has been proposed to classify pulpitis into 4 categories (initial, mild, moderate, severe), aiming to guide clinicians to implement the relevant vital endodontic treatment. The main objective of this study was to test the histologic validity and clinical reliability of the Wolters classification ...
Çağla Fatmanur Yılmaz   +3 more
wiley   +1 more source

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