Results 171 to 180 of about 407,589 (299)

Multicenter RCT 6‐Year Survival of Zirconia‐Reinforced Lithium Silicate Endocrowns: 90° Shoulder Versus Butt‐Joint Margins

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

Open‐Weight Deep Learning for Periapical Index Scoring: Training and Comparison of Convolutional Neural Network Models Based on Three Distinct Architectures and an Ensemble Approach

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Aim This study aimed to (i) train and compare three convolutional neural network (CNN) architectures for Periapical Index (PAI) scoring on intraoral radiographs, and (ii) assess whether an ensemble of these models improves performance compared with any single architecture.
Gerald Torgersen   +5 more
wiley   +1 more source

A Prospective Study on the Effect of Coronal Tooth Structure Loss on the Survival of Root Canal‐Retreated Posterior Teeth Restored With Metal Ceramic Crowns With up to 10‐Year Follow‐Up

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Aim The primary aim of this study was to evaluate whether the volume of residual coronal tooth structure influences the survival of root canal‐retreated posterior teeth with up to 10‐year follow‐up. Secondary aims were to assess whether 12‐month radiographic findings and the Dental Practicality Index (DPI) could predict long‐term survival ...
Nassr Al‐Nuaimi   +4 more
wiley   +1 more source

The Fundamental Necessities of Comprehensive Dental Repositories to Support the Generalisation of AI Applications in Endodontics

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Aim Artificial intelligence (AI) has the potential to reshape the healthcare industry, particularly in disease detection, diagnosis and management, as well as in supporting clinical decision‐making to enhance patient care. However, realising the full potential of AI in healthcare depends on several interrelated factors, including data quality,
Shilpa Thakkar   +3 more
wiley   +1 more source

A HUMAN-ROBOT INTERACTION PLATFORM FOR INTRAORAL DENTAL SCAN

open access: yes
International audienceThis article presents the development and evaluation of a robot-assisted intraoral scanning platform to enhance the precision and repeatability of dental digitization.
Laverne, Floriane   +3 more
core   +1 more source

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