Results 151 to 160 of about 61,659 (287)

Evaluation of precision and trueness of intraoral scanners for newborns with cleft lip and palate: 3D analysis of digital models. [PDF]

Head Face Med
Schell JT, Braumann B, Kruse T, Achterrath S, Shamlian TN, Graf I.   +5 more
europepmc   +1 more source

The Immediate Effects of a 3D Intraoral Scanner as an Adjunctive Oral Hygiene Educational Tool: A Randomised Controlled Trial

International Journal of Dental Hygiene, EarlyView.
ABSTRACT Objectives This single‐visit randomised controlled clinical trial (RCT) aimed to evaluate the immediate effects of a three‐dimensional (3D) intraoral scanner as an adjunctive oral hygiene education tool compared to standard personalised oral hygiene instruction (OHI) in healthy adults.
Hui Jia Sophia Choo, Jia Ming Joshua Xie, Xiao Tong Jacinta Lu, Wei Ming Clement Lai, Lum Peng Lim, Boon Keng Alvin Yeo   +5 more
wiley   +1 more source

Use of intraoral scanners in dentistry

, 2018
O interesse pela terceira dimensão e a introdução de novas tecnologias em Odontologia levaram ao desenvolvimento de uma nova maneira de adquirir modelos odontológicos, os chamados scanners intraorais.
Fortunato, Mariana da Silva
core  

Air‐Flowing and Plaque Disclosing for Professional Biofilm Removal in Paediatric Patients: A Randomized Controlled Clinical Trial of Four Techniques

International Journal of Dental Hygiene, EarlyView.
ABSTRACT Introduction Professional Mechanical Plaque Removal (PMPR) in paediatric patients can be challenging due to limited cooperation and access. The use of plaque disclosing agents (PD) in combination with air‐flowing devices employing low‐abrasiveness powders has demonstrated improved plaque removal in adults, with additional advantages in terms ...
Mensi Magda, Scotti Eleonora, Marchetti Silvia, Garzetti Gianluca, Sordillo Annamaria, Dalè Matteo, Maffeis Elisa, Calza Stefano, Elena Bardellini   +8 more
wiley   +1 more source

Clinical Evaluation of Accuracy and Speed Across Three Intraoral Scanners. [PDF]

Medicina (Kaunas)
Faur AB, Anghel-Lorinți AE, Jivănescu A.   +2 more
europepmc   +1 more source

Generative Artificial Intelligence for Computer Vision in Endodontics: A Review of Current State and Future Potential

International Endodontic Journal, EarlyView.
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, Sanyam Jain, Khuram Naveed, Sepanta Hosseinpour, Lise‐Lotte Kirkevang, Ali Nosrat, Ruben Pauwels   +6 more
wiley   +1 more source

Influence of restorative material types on 3D printed aligner accuracy using intraoral scanners. [PDF]

BMC Oral Health
Yu JH, Mangal U, Liu J, Kim JH, Yu HS, Lee KJ, Kwon JS, Choi SH, Cha JY.   +8 more
europepmc   +1 more source

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

Accuracy of digitally fabricated partial coverage ceramic restorations using conventional impression and intraoral scanners. [PDF]

BMC Oral Health
Adly A, Ellayeh M, El-Farag SAA.
europepmc   +1 more source

Intraoral scanners: enhancing efficiency and patient comfort in prosthodontics – a systematic review

This review evaluates the effectiveness of intraoral scanners in prosthodontics, focusing on their ability to reduce working time and enhance patient comfort compared to conventional impression techniques.
Gayathri S., Jayaharini K., Arun N., Lakshmi S., Kabilan P., Nagappan C.   +5 more
core   +1 more source