Results 71 to 80 of about 46,209 (266)

Artificial Intelligence Revolution: The Need for a Regulatory and Governance Framework in Dentistry

Journal of Dental Education, EarlyView.
Ehsan Jozaghi
wiley   +1 more source

Biomaterial used to counteract ridge reduction following the removal of adjacent teeth: A randomized controlled multicenter study

Journal of Periodontology, EarlyView.
Abstract Background Alveolar ridge resorption (ARP) is a well‐recognized consequence of tooth extraction, and multiple adjacent extractions may lead to greater ridge reduction than single‐tooth extractions. This multicenter randomized controlled trial aimed to assess ridge remodeling after removing 2 adjacent teeth and whether socket grafting with ...
Denis Cecchinato, Enrico Corrà, Eriberto Bressan, Marika Gervasi, Marco Menoncin, Enrico Savio, Marco Toia   +6 more
wiley   +1 more source

A gyökércsatorna morfológiájának vizsgálata Cone Beam CT segítségével

, 2016
Diplomamunkám célja, hogy a CBCT felhasználásáról egy átfogóbb képet alkossak a fogászat egyes területein, különös figyelmet fordítva az endodontiában való felhasználhatóságára.
Zolnai, Antal Péter
core  

MR-CBCT phantom design

, 2018
Dual modality MR-CBCT phantom for preclinical ...
Tsuicheng Chiu (5151134)
core   +1 more source

The effect of bioactive membrane in alveolar ridge preservation: A double‐blind randomized clinical trial

Journal of Periodontology, EarlyView.
Abstract Background This randomized controlled trial aims to evaluate alveolar ridge preservation (ARP) with or without a biologically active amnion–chorion membrane (BACM). Methods Thirty patients requiring tooth extraction in the esthetic zone were randomly assigned to 2 groups.
Magdalena Orlowska, Muhammad H. A. Saleh, Ann Decker, Junying Li, Alice Ou, Nataly Zambrana, Paolo Nava, Fernanda A. da Costa Deller, Hom‐Lay Wang   +8 more
wiley   +1 more source

Incidental maxillary sinus findings in orthodontic patients: a radiographic analysis using cone-beam computed tomography (CBCT)

, 2010
To determine the frequency of incidental maxillary sinus findings using cone-beam computed tomography (CBCT) images made for orthodontic ...
P Pazera, Bornstein, M. M., Sendi, P, Pazera, P., Sendi, P., Pazera, P, C Katsaros, Katsaros, C., A Pazera, Bornstein, M M, MM Bornstein, Katsaros, C, Pazera, A., Pazera, A, P Sendi   +14 more
core   +1 more source

Robotic CBCT meets robotic ultrasound

International Journal of Computer Assisted Radiology and Surgery
Abstract Purpose The multi-modality imaging system offers optimal fused images for safe and precise interventions in modern clinical practices, such as computed tomography-ultrasound (CT-US) guidance for needle insertion.
Feng Li 0034, Yuan Bi, Dianye Huang, Zhongliang Jiang, Nassir Navab   +4 more
openaire   +3 more sources

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

Highly accurate Facial Nerve Segmentation Refinement from CBCT/CT Imaging using a Super Resolution Classification Approach.

, 2018
Facial nerve segmentation is of considerable importance for pre-operative planning of cochlear implantation. However, it is strongly influenced by the relatively low resolution of the cone-beam computed tomography (CBCT) images used in clinical practice.
Livia Barazzetti, Kate Gavaghan, Vimal Chandran, Weber, Stefan, Gerber, Kate, Ping Lu, Gerber, Nicolas, Chandran, Vimal, Mauricio Reyes, Reyes, Mauricio, Nicolas Gerber, Stefan Weber, Barazzetti, Livia, Lu, Ping   +13 more
core   +1 more source

Synchrotron‐Based Deep Learning Network of the Inner Ear: Development and Expert Validation

The Laryngoscope, EarlyView.
A deep learning network to automatically segment the inner ear from preoperative clinical scans was developed using synchrotron‐radiation phase contrast imaging (SR‐PCI). On an unseen test set, the network significantly outperformed seven expert otologists/radiologists, the mean expert segmentation, and a simultaneous truth and performance level ...
Ashley Micuda, Kyle Rioux, Luke Helpard, Munir Demir Bajin, Zahra Kassam, Sachin Pandey, Jaehyun Hwang, Griselda T. Romero‐Sanchez, Manas Sharma, Lorne S. Parnes, Hanif M. Ladak, Sumit K. Agrawal   +11 more
wiley   +1 more source