Results 231 to 240 of about 13,900,319 (258)

Diachronic Trends in Dental Hygiene Over the Last 2000 Years in Milan, Italy: An Exploratory Study

International Journal of Dental Hygiene, EarlyView.
ABSTRACT Background Oral health is a multi‐factorial condition influenced by diet, hygiene and sociocultural habits and its historical evolution can be traced through the bioarchaeological analysis of dento‐skeletal remains, offering unique insights into past lifestyles and public health trends.
Lucie Biehler‐Gomez, Marta Ascoli, Giulia Masini, Maria Claudia Manicone, Dolaji Henin, Claudia Dellavia, Daniela Carmagnola, Alessandro Porro, Cristina Cattaneo, Danilo De Angelis   +9 more
wiley   +1 more source

Artificial Intelligence in the Detection of Clinically Negotiable Second Mesio‐Buccal Canals in Periapical Images of Maxillary Molars

International Endodontic Journal, EarlyView.
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, Fatemeh Sohrabniya, Soroush Sadr, Jane Lee, Noreen Ramzy, Alan S. Law, Ernest W. N. Lam, Asma Ahmed Khan, Ali Nosrat   +8 more
wiley   +1 more source

Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis

International Endodontic Journal, EarlyView.
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, Ingrid Luiza Mendonça Cunha, Thalita de Paris Matos, Flares Baratto‐Filho, Bianca Marques de Mattos de Araujo, Manoel Damião Sousa‐Neto, Leandro de Moura Martins, Fernando José Herkrath, Emílio Carlos Sponchiado‐Júnior, Cristiano Miranda de Araujo   +9 more
wiley   +1 more source

Mamba‐Based Deep Learning Model for Automated Periapical Index Classification Using Periapical Radiographs and Clinical Metadata

International Endodontic Journal, EarlyView.
ABSTRACT Aim Apical periodontitis (AP) diagnosis primarily relies on periapical radiographs (PRs) and the Periapical Index (PAI) scoring system. However, existing automated approaches often simplify PAI into binary categories or ignore essential clinical metadata, limiting diagnostic performance and applicability.
Jiyun Lee, Yudam Park, Sunil Kim, Ikbeom Jang   +3 more
wiley   +1 more source

What If the External Crown Surface of Teeth Could Predict the Pulp Chamber? A DeepSDF‐Based Approach

International Endodontic Journal, EarlyView.
ABSTRACT Aim Spatial localisation of the pulp chamber is critical for safe and effective dental treatments. This study aimed to assess the performances of DeepSDF models to predict the 3D pulp chamber space and cervical line of molars using only external crown surfaces.
Elias Walter, Sébastien Valette, Ariel Pokhojaev, Leander Benz, Lukas Konietzka, Peter Roesch, Katrin Heck, Rachel Sarig, Anderson Hara, Davide Mancino, Akhilanand Chaurasia, Falk Schwendicke, Raphael Richert   +12 more
wiley   +1 more source

Extended Reality in Endodontics: A Review of Current Applications and Future Potential

International Endodontic Journal, EarlyView.
ABSTRACT Background Extended reality (XR) technologies, encompassing augmented reality (AR), virtual reality (VR), and mixed reality (MR), are increasingly used in endodontic education and practice. A gap exists regarding understanding of XR's applications and limitations among endodontic educators and practitioners.
Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Peng Yuan Zhou, Damiano Pasqualini, Henry F. Duncan, Ruben Pauwels, Ali Nosrat   +6 more
wiley   +1 more source

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

International 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, Raidan Ba‐Hattab, Sadeq Ali Al‐Maweri, Faleh Tamimi   +3 more
wiley   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Impact of mandibular third molars on angle fractures: A retrospective study

Dental Traumatology, 2021
Ravish Mishra, Shashank Tripathi, Pradip Chhetri   +2 more
exaly  

Pathologies associated with the mandibular third molar impaction

Science Progress, 2021
Yang Chi, Wen-Hao Qian
exaly