Results 161 to 170 of about 205,502 (283)

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

International 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, Sanyam Jain, Khuram Naveed, Sepanta Hosseinpour, Lise‐Lotte Kirkevang, Ali Nosrat, Ruben Pauwels   +6 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

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

Seamless integration of intraoral scanner [PDF]

British Dental Journal, 2021
openaire   +1 more source

Planimetric quantification of plaque in patients with multibracket appliances using an intraoral scanner - proof-of-concept. [PDF]

Clin Oral Investig
Jung K, Ganss C, Korbmacher-Steiner H, Jablonski-Momeni A.   +3 more
europepmc   +1 more source

Multicenter RCT 6‐Year Survival of Zirconia‐Reinforced Lithium Silicate Endocrowns: 90° Shoulder Versus Butt‐Joint Margins

International Endodontic Journal, EarlyView.
ABSTRACT Objectives Margin design significantly influences endocrown biomechanical performance. Nevertheless, long‐term clinical data comparing margin designs within a singular zirconia‐reinforced lithium silicate (ZLS) system remain scarce. This study reports the 6‐year follow‐up results of a multicenter, prospective, randomized, assessor‐blinded ...
Ping Xiao, Ziting Zheng, Yuting Zeng, Xiaoyu Lin, Jiayao Mo, Liya Chen, Jilei Wang, Yuan Wu, Zhongchun Tong, Wenjuan Yan   +9 more
wiley   +1 more source

Effects of restorative material, intraoral scanner, and digital workflow on the marginal and internal fit of CAD-CAM all-ceramic crowns: an <i>in vitro</i> study. [PDF]

J Adv Prosthodont
Musa J, Grübel C, Stück P, Rinke S, Bürgers R, Rödiger M.   +5 more
europepmc   +1 more source

Direct Resin Composite and Lithium Disilicate Endocrowns in Severely Compromised Endodontically Treated Molars: A Two‐Year Randomized Controlled Trial

International Endodontic Journal, EarlyView.
ABSTRACT Aim This randomized controlled superiority trial aimed to compare the clinical performance (restoration survival, clinical quality, and patient satisfaction) of direct resin composite and lithium disilicate endocrown restorations in structurally compromised endodontically treated molars.
Maurits C. F. M. de Kuijper, Carline R. G. van den Breemer, Yvonne C. M. de Waal, Lieke Lanjouw, Mutlu Özcan, Marco S. Cune, Marco M. M. Gresnigt   +6 more
wiley   +1 more source

Consistency of Intraoral-Scanner-Derived Occlusal Contact Distance Maps Between Centric Relation and Maximal Intercuspation. [PDF]

Dent J (Basel)
Knezović Zlatarić D, Žagar M.
europepmc   +1 more source

Open‐Weight Deep Learning for Periapical Index Scoring: Training and Comparison of Convolutional Neural Network Models Based on Three Distinct Architectures and an Ensemble Approach

International Endodontic Journal, EarlyView.
ABSTRACT Aim This study aimed to (i) train and compare three convolutional neural network (CNN) architectures for Periapical Index (PAI) scoring on intraoral radiographs, and (ii) assess whether an ensemble of these models improves performance compared with any single architecture.
Gerald Torgersen, Karianne Winsnes, Trude Handal, My Tien Diep, Dag Ørstavik, Pia Titterud Sunde   +5 more
wiley   +1 more source