Results 211 to 220 of about 61,239 (401)

Correlation Theory of the Maxillary Central Incisor, Face and Dental Arch Shape in the Serbian Population. [PDF]

open access: yesMedicina (Kaunas), 2023
Kostić M   +8 more
europepmc   +1 more source

Influence of different post design and composition on stress distribution in maxillary central incisor: Finite element analysis

open access: gold, 2009
Carlos José Soares   +6 more
openalex   +1 more source

The Clinical Impact of the Combination of CBCT and Periapical Radiographs on Endodontic Diagnosis and Treatment Planning—A Retrospective Cohort Study

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Aim To determine whether the combined use of periapical radiography (PR) and cone beam computed tomography (CBCT) improves agreement among three endodontic experts compared with using either diagnostic tool alone. Methodology Sixty clinical records with CBCT scans were selected from cases performed by postgraduate and master's students in ...
P. Soldado‐Cañadas.   +4 more
wiley   +1 more source

Prevalence, Characteristics, and Predictive Factors of Dentoalveolar and Spreading Odontogenic Infections in Children Treated Under General Anaesthesia

open access: yesInternational Journal of Paediatric Dentistry, EarlyView.
ABSTRACT Background Children receiving dental treatment under general anesthesia (GA) often have odontogenic infections (OIs). Early detection and treatment of patients at risk of OIs can improve oral health and prevent early tooth extractions. Aim To investigate the prevalence, characteristics, and predictive factors of OIs in children receiving ...
Annmari Hyppänen   +4 more
wiley   +1 more source

Detection of Dens Invaginatus on Panoramic Radiographs Using Deep Learning Algorithms

open access: yesInternational Journal of Paediatric Dentistry, EarlyView.
ABSTRACT Background Dens invaginatus is a developmental dental anomaly characterized by enamel folding into the dental papilla during odontogenesis. Early detection allows for appropriate management and reduces the risk of complex treatments. Aim This study aimed to evaluate the success and reliability of YOLOv5 and YOLOv8 deep learning models with two
Esra Nur Akgül, Burcu Gucyetmez Topal
wiley   +1 more source

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