Results 61 to 70 of about 13,453 (261)

Biomaterials for resolution of peri‐implantitis: Consensus report of Workgroup 2 of the IADR Implantology Research Group Best Evidence Consensus Symposium on Peri‐Implant Disease and Its Treatment

Journal of Periodontology, EarlyView.
Abstract Background Peri‐implantitis is a destructive disease affecting the tissues surrounding dental implants. Biomaterials may be applied during surgical treatment to reconstruct bony defects and support soft tissue healing. However, current evidence is unclear if these treatments increase the likelihood of peri‐implantitis resolution.
Sukirth M. Ganesan, David R. Fraser, Mustafa Tattan, Jessica M. Latimer, IADR IRG Peri‐Implantitis Best Evidence Consensus Working Group 2, Mario Aimetti, Hatice Hasturk, Purnima S. Kumar, Fernando Suarez Lopez Del Amo, Andreas Stavropoulos, Daniel S. Thoma, Spyridon Vassilopoulos, Hom‐Lay Wang, Georgios Kotsakis   +13 more
wiley   +1 more source

Deep Learning-Based Periapical Lesion Detection on Panoramic Radiographs

Diagnostics
Background/Objectives: Our study aimed to determine the accuracy of the artificial intelligence-based Diagnocat system (DC) in detecting periapical lesions (PL) on panoramic radiographs (PRs).
Viktor Szabó, Kaan Orhan, Csaba Dobó-Nagy, Dániel Sándor Veres, David Manulis, Matvey Ezhov, Alex Sanders, Bence Tamás Szabó   +7 more
doaj   +1 more source

Clinical application progress of intentional replantation [PDF]

Kouqiang yixue
With the continuous progress of modern stomatology technology, intentional tooth replantation has become an effective treatment method for pulp and periapical diseases, as well as dental hard tissue diseases.
ZHANG Jingchen, WU Wenzhi, CHEN Zhuo
doaj   +1 more source

Predicting peri‐implantitis incidence and implant failure via risk‐assessment and prognostication tools: A validation study

Journal of Periodontology, EarlyView.
Abstract Background Identifying individuals at high risk for developing peri‐implantitis (PI) and then determining the prognosis for implants with PI is crucial for treatment planning. Methods This study longitudinally followed implants from implant placement retrospectively.
Muhammad H. A. Saleh, Era Kakar, Giuseppe Troiano, Hamzeh Almashni, Jonathan Misch, Fariba Esperouz, Shahad Alhazmi, Hom‐Lay Wang, Zoltán Baráth, Istvan A. Urban   +9 more
wiley   +1 more source

Detection of Periapical Lesions Using Artificial Intelligence: A Narrative Review

Diagnostics
Periapical lesions (PALs) are a common sequela of pulpal pathology, and accurate radiographic detection is essential for successful endodontic diagnosis and treatment outcome.
Alaa Saud Aloufi
doaj   +1 more source

Deep learning cone‐beam computed tomography image segmentation for the 3D visualization of mandibular infraosseous periodontal defects

Journal of Periodontology, EarlyView.
Abstract Background The accurate assessment of infraosseous periodontal defects is crucial for effective diagnosis and treatment planning. Cone‐beam computed tomography (CBCT) enables detailed imaging of these defects; however, to leverage their full potential, CBCT images must be reconstructed in 3 dimensions (3D).
Daniel Palkovics, Balint Molnar, Csaba Pinter, David García‐Mato, Andres Diaz‐Pinto, Attila Tanacs, Andrea Dobos, Peter Windisch, Christoph A. Ramseier   +8 more
wiley   +1 more source

Diagnostic accuracy of transmucosal probe visualization for peri‐implant mucosal phenotype assessment: A cross‐sectional study

Journal of Periodontology, EarlyView.
Abstract Background This study evaluated the diagnostic accuracy of visual assessment of mucosal transparency using a standard periodontal probe (VAT) to differentiate between thin and thick peri‐implant mucosal phenotypes, compared to horizontal transmucosal probing (HTP).
Emilio Couso‐Queiruga, Manrique Fonseca, Diogo Moreira Rodrigues, Gustavo Avila‐Ortiz, Vivianne Chappuis, Clemens Raabe   +5 more
wiley   +1 more source

Validation of model predicting furcation involvement in newly crowned teeth—A 5‐year retrospective follow‐up

Journal of Periodontology, EarlyView.
Abstract Background This study aimed to perform a prediction model validation for furcation involvement (FI) risk in molars receiving a new fixed prosthesis (FP) using a unique cohort assessed at three time points. Methods Following the Oral Health Statistical (OHStat) reporting guidelines, this cohort study examined 181 patients (203 molars) from 2018–
Khushboo Kalani, Giuseppe Troiano, Asfandyar Sheikh, Era Kakar, Hom‐Lay Wang, Muhammad H. A. Saleh   +5 more
wiley   +1 more source

Usability of a deep learning platform for detecting radiographic bone loss and furcation involvement

Journal of Periodontology, EarlyView.
Abstract Background Assessing radiographic bone condition is important for periodontal diagnosis. The accuracy of radiographic interpretation depends highly on a clinician's experience and knowledge. This study aimed to develop a deep learning‐based online platform that aids clinicians in diagnosing periodontitis based on periapical radiographs and to ...
Chun‐Teh Lee, Tanjida Kabir, Alaa Alsaffar, Jiman Nelson, Sally Sheng, Hsiu‐Wan Meng, Mohammad Qali, Muhammad F. Walji, Xiaoqian Jiang, Shayan Shams   +9 more
wiley   +1 more source

MobileNetV3 network-based diagnosis of caries and periapical periodontitis from periapical films

口腔疾病防治
Objective To research the effectiveness of deep learning techniques in intelligently diagnosing dental caries and periapical periodontitis and to explore the preliminary application value of deep learning in the diagnosis of oral diseases.
WANG Kaixin, LIU Feng, ZENG Lingfang, LIU Chao   +3 more
doaj   +1 more source