Dynamic navigation-guided robotic placement of zygomatic implants.

Objectives: To assess the feasibility and accuracy of a new prototype robotic implant system for the placement of zygomatic implants in edentulous maxillary models.

Methods: The study was carried out on eight plastic models. Cone beam computed tomographs were captured for each model to plan the positions of zygomatic implants.

The precision of drill calibration for dynamic navigation.

Objectives: To quantify the reproducibility of the drill calibration process in dynamic navigation guided placement of dental implants and to identify the human factors that could affect the precision of this process in order to improve the overall implant placement accuracy.

Methods: A set of six drills and four implants were calibrated by three operators following the standard calibration process of NaviDent® (ClaroNav Inc.).

The Accuracy of Intraoral Registration for Dynamic Surgical Navigation in the Edentulous Maxilla.

Purpose: Despite the high clinical accuracy of dynamic navigation, inherent sources of error exist. The purpose of this study was to improve the accuracy of dynamic-navigated surgical procedures in the edentulous maxilla by identifying the optimal configuration of intraoral points that results in the lowest possible registration error for direct clinical implementation.

Materials And Methods: Six different four-area configurations (left and right sides; n = 12) were tested by three operators against two negative controls (left and right sides) and one positive control (three-area and eight-area configurations, respectively) using a skull model.

Longitudinal assessment of undergraduate dental students: Building evidence for validity.

Purpose: To investigate the content and criterion validity, and reliability of longitudinal clinical assessment of undergraduate dental student clinical competence by determining patterns of clinical performance and comparing them with validated standalone undergraduate examinations.

Methods: Group-based trajectory models tracking students' clinical performance over time were produced from LIFTUPP© data for three dental student cohorts (2017-19; n = 235) using threshold models based on the Bayesian information criterion. Content validity was investigated using LIFTUPP© performance indicator 4 as the threshold for competence.

Adaptation to Virtual Assessment during the COVID-19 Pandemic: Clinical Case Presentation Examination.

Background: Case presentation assessment is common in both medicine and dentistry and is known under various names depending on the country and institution. It relates mainly to aspects of diagnosis and treatment planning and is considered highly authentic and useful. The COVID-19 pandemic necessitated the movement of this assessment from face-to-face to online.