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
What If the External Crown Surface of Teeth Could Predict the Pulp Chamber? A DeepSDF‐Based Approach
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 +12 more
wiley +1 more source
Extended Reality in Endodontics: A Review of Current Applications and Future Potential
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 +6 more
wiley +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
Effects of the endodontic access cavity on apical debris extrusion during root canal preparation using different single-file systems. [PDF]
Tüfenkçi P, Yılmaz K, Adigüzel M.
europepmc +1 more source
ABSTRACT Background Primary or persistent endodontic disease is caused by microbial biofilms that irritate the pulp and periapical tissues. Extensive microbiological analyses of these biofilms and their constituent pathogens have revealed their diversity and complexity.
Ashraf F. Fouad
wiley +1 more source
Virtual Reality-Based Mirror Guidance for Indirect Vision Training in Minimally Invasive Endodontic Access Cavity Preparation Among Dental Students: Randomized Controlled Crossover Trial. [PDF]
Suranin U +9 more
europepmc +1 more source
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 +9 more
wiley +1 more source
Evaluating the Role of Magnification in Minimising Tooth Substance Loss During Endodontic Access Cavity Preparation: An In Vitro Volumetric Analysis Using CBCT and IOS. [PDF]
Martins R +3 more
europepmc +1 more source
Radiographic Intraradicular Reduction of a Calcium Silicate–Based Sealer: Case Reports
ABSTRACT Aim To document radiographically observable intraradicular reduction of AH Plus Bioceramic, a premixed calcium silicate–based sealer (CSBS), during clinical follow‐up after nonsurgical root canal retreatment. Summary Four cases of nonsurgical root canal retreatment performed with a premixed CSBS using a single‐cone obturation technique are ...
Damien Savoure +3 more
wiley +1 more source

