Results 171 to 180 of about 3,061,497 (295)

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

open access: yesInternational 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   +9 more
wiley   +1 more source

Artificial Intelligence in Predicting Surgical Problems and Postoperative Morbidity in Mandibular Third Molar Extractions. [PDF]

open access: yesAnn Afr Med
Karadiguddi P   +7 more
europepmc   +1 more source

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

open access: yesInternational 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   +3 more
wiley   +1 more source

Impacted Mandibular Third Molar Migration in the Presence of Idiopathic Osteosclerosis: A Rare Case Report. [PDF]

open access: yesDent J (Basel)
Martinić J   +5 more
europepmc   +1 more source

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

open access: yesInternational 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   +6 more
wiley   +1 more source

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

open access: yesInternational 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   +3 more
wiley   +1 more source

Cellular Dynamics and Dentine Bridge Formation Following Direct Pulp Capping With MTA and Biodentine in a Murine Model

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Aim Formation of a mineralized dentine bridge is the hallmark of successful direct pulp capping (DPC). Mineral trioxide aggregate (MTA) and Biodentine are widely used capping materials, but in vivo evidence comparing their regenerative potential remains inconclusive. This study used a controlled murine model to compare dentine bridge formation
Amnah Sajdeya   +4 more
wiley   +1 more source

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