Results 161 to 170 of about 5,001,438 (325)

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

Radiographic Documentation of Implant-Supported Rehabilitation Following Endodontic Failure of a Mandibular First Molar: A Case Report. [PDF]

Cureus
Mejia Ocampo EM, Mora V, Romero M, Perez Quevedo M, De la Roche IC.   +4 more
europepmc   +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

Implant-Supported Rehabilitation Following Endodontic Failure in a Patient Classified as American Society of Anesthesiologists (ASA) Physical Status III With Chronic Post-Stroke Hemiplegia: A Multidisciplinary Dental Case Report. [PDF]

Cureus
Arenas Perez N.
europepmc   +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

Surgical Management of Endodontic Failure and Dental Neglect: A Pediatric Case Report. [PDF]

Cureus
Goswami M, Sultan F, Rimshheanam R.
europepmc   +1 more source

Can Artificial Intelligence Be Utilised to Develop Point‐of‐Care Endodontic Microbiological Technologies?

International Endodontic Journal, EarlyView.
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

Bridging the Gap between Endodontic Failure and Success: A Case Report on Intentional Replantation. [PDF]

Contemp Clin Dent
Kumar G, Biswas KP, Mishra N.
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

Deep Learning for Assessing Caries Depth in Permanent Teeth Using Intraoral Radiographs: A Systematic Review

International Endodontic Journal, EarlyView.
ABSTRACT Background Accurate assessment of caries depth on intraoral radiographs is crucial for determining the extent of the lesion and planning appropriate treatment. Artificial intelligence (AI) models have been increasingly used for detecting and classifying carious lesions; however, the evidence focusing specifically on the classification of ...
Laith Abu Qdais, Richard Gault, Jamie Toole, Aysar Khudair, Omer Butt, Ikhlas El‐Karim   +5 more
wiley   +1 more source