Results 141 to 150 of about 291,457 (254)

A Rare Case of Bilateral Maxillary Supplemental Lateral Incisors. [PDF]

Cureus
Singla D, Manchanda Y, Sachdeva M, Bhangu H, Dua V.   +4 more
europepmc   +1 more source

Modelling of the Systemic Inflammatory Host Response in Relation to the Microbiome of the Endodontic Infection

International Endodontic Journal, EarlyView.
ABSTRACT Aim This study aimed to investigate systemic inflammatory responses in individuals with apical periodontitis (AP) compared to age‐matched healthy controls, using advanced multiway modelling techniques. We examined associations between inflammatory mediators, age, gender, symptomatic status, and the microbial composition and function to better ...
A. C. Georgiou, G. R. van der Ploeg, J. A. Westerhuis, S. V. van der Waal, A. Heintz‐Buschart, A. K. Smilde, B. W. Brandt   +6 more
wiley   +1 more source

Bilateral Non-Syndromic Supplemental Mandibular Incisors: Report on a Rare Clinical Case. [PDF]

Children (Basel)
Giancotti A, Cortese I, Carillo M.
europepmc   +1 more source

A Thermosensitive Gel Containing Biodegradable Nanoparticles Carrying Calcium Hydroxide as Antibacterial Intracanal Therapy

International Endodontic Journal, EarlyView.
ABSTRACT Aim To characterise and evaluate mucoadhesive strength and antibacterial properties of a nanotechnological formulation for endodontic disinfection based on biodegradable nanoparticles dispersed in a thermosensitive gel containing calcium hydroxide (Ca(OH)2‐NPs‐gel).
Xavier Roig‐Soriano, Luis María Delgado, Firas Elmsmari, Fernando Duran‐Sindreu, Miriam Teulé, Marta Espina, Gerard Esteruelas, Maria Luisa García, José Antonio González Sánchez, Elena Sánchez‐López   +9 more
wiley   +1 more source

Retrospective Analysis of 1093 Non-Syndromic Supernumerary Teeth From 782 Patients in Northwest China: Clinical, Radiographic and Epidemiological Insights. [PDF]

Int Dent J
Xue X, Wang H, Zhang T, Li W, Li X, Sun S, Wu L.   +6 more
europepmc   +1 more source

The Impact of Training Dental Students to Use an Artificial Intelligence–Based Platform for Pulp Exposure Prediction Prior to Deep Caries Excavation: A Proof‐of‐Concept Randomised Controlled Trial

International Endodontic Journal, EarlyView.
ABSTRACT Aim This study evaluated the effect of a short, personalised training session on student performance in using an artificial intelligence (AI)‐based platform for pulp exposure prediction before caries excavation and determined the required sample size for a further randomised controlled trial (RCT).
Shaqayeq Ramezanzade, Tudor Laurentiu Dascalu, Azam Bakhshandeh, Sergio E. Uribe, Bulat Ibragimov, Lars Bjørndal   +5 more
wiley   +1 more source

Dynamic navigation systems in dento-alveolar surgery: advancements and clinical applications. [PDF]

Saudi Dent J
Ahmadi S, Liang X, Xu F, Wang C, Xie L, Yu M, Tu J, Na S.   +7 more
europepmc   +1 more source

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

International 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, Fanny Mussalo, Johanna Snäll, Heikki Alapulli, Eija Salmela   +4 more
wiley   +1 more source

Deep learning-based automated detection of supernumerary teeth in pediatric panoramic radiographs. [PDF]

PLoS One
Uzel İ, Ghabchi B, Çoğulu D.
europepmc   +1 more source

Detection of Dens Invaginatus on Panoramic Radiographs Using Deep Learning Algorithms

International 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