Results 181 to 190 of about 40,450 (267)
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
YoLeTooth: A Unified Framework for Joint Tooth Segmentation and Periapical Lesion Detection in Panoramic Radiographs. [PDF]
Scarano G +3 more
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
Vücut kitle indeksinin mandibular kemik mimarisi üzerindeki etkileri: retrospektif fraktal boyut ve radyomorfometrik analiz. [PDF]
Ispir NG, Akay G, Gungor K.
europepmc +1 more source
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
Assessment of impacted canine patterns and correlations with craniofacial discrepancy. [PDF]
Abbas S +3 more
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
Diagnostic Challenges in Differentiating Unicystic Ameloblastoma From Odontogenic Cysts: Report of Two Cases. [PDF]
Khalifa C +5 more
europepmc +1 more source
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
Deep Learning-Assisted Localization of Cystic Lesions and Benign Tumors in the Maxillofacial Region Using Panoramic Radiographs: A Preliminary Feasibility Study. [PDF]
Lien KH +9 more
europepmc +1 more source

