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Objective: This study aimed to evaluate the effectiveness of auxiliary occlusal devices (AODs) in improving occlusal accuracy and reducing clinical adjustments in a fully digital workflow for multiple (3 or more) implant-supported single crowns.
Materials And Methods: Twenty-nine patients with a total of 106 implant-supported single crowns were enrolled. Participants were randomly assigned to either the test group (with AODs) or the control group (without AODs). Both groups underwent a digital workflow, and the morphology of restorations was recorded before and after occlusal adjustment using an intra-oral scanner. Quantitative occlusal modifications, including grinding and porcelain additions, were calculated by 3D analysis software, and crown remake (occlusal deficiency > 0.5 mm) was documented. Statistical analysis included the Mann-Whitney U test, Fisher's exact test, and generalized linear mixed model to assess the effects of group assignment, edentulous position, and their interaction on the amount of occlusal adjustment.
Results: The test group exhibited significantly lower rates of porcelain addition (16.4% vs. 26.3%, p = 0.051) and crown remake (3.8% vs. 20.4%, p = 0.015) compared to the control group. The absolute amount of occlusal modification was significantly reduced in the AOD group (median 0.3290 mm) compared to the control (median 0.5273 mm, p = 0.001). Notably, free-end saddle crowns showed a higher incidence of occlusal porcelain addition (p = 0.022), but the use of AODs in these cases significantly mitigated the need for adjustments (p = 0.007).
Conclusion: The incorporation of AODs in a digital workflow significantly improves the precision of occlusal registration and reduces chairside modifications and remakes. AODs are especially beneficial in complex cases such as free-end saddles and should be considered a valuable adjunct in digital implant prosthodontics.
Trial Registration: This study was registered on the Chinese Clinical Trial Registry (https://www.chictr.org.cn/; ChiCTR2200064819).
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http://dx.doi.org/10.1111/clr.70029 | DOI Listing |
PLoS One
September 2025
Addis Ababa University, College of Health Science, Addis Ababa, Ethiopia.
Introduction: Prolonged Emergency Department (ED) stays, a global issue driving overcrowding, were exacerbated at our hospital by lab delays and extended waits, increasing patient stress. This study aimed to reduce hematology patients' length of stay (LOS). Using the fishbone method to identify care barriers, three interventions were implemented: redesigned lab referral systems, an online specialist communication platform, and patient navigation floor maps.
View Article and Find Full Text PDFJ Hepatol
July 2025
Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany; Department of Medicine I, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, 01307 Dresden, Germany; Medical Oncology, National Center for Tumor Disease
Artificial intelligence (AI) methods in hepatology have proliferated since the mid-2010s, with numerous publications and some regulatory approvals. Yet, adoption of AI methods in real-world clinical practice and clinical research remains limited. Despite clear benefits of using AI to analyze complex data types in hepatology, such as histopathology, radiology images, multi-omics and more recently, natural language patient data, there are still substantial barriers and challenges to its integration into routine clinical workflows.
View Article and Find Full Text PDFJMIR Med Educ
September 2025
Faculty of Nursing, University of Calgary, Calgary, AB, Canada.
The integration of digital health and informatics competencies into health care education in Canada is essential for preparing a workforce capable of leveraging health care technologies to enhance care delivery and patient outcomes. Despite significant advancements, the current educational landscape in digital health remains inconsistent, characterized by fragmented curricula and uneven competency attainment. Addressing these gaps requires an innovative reframing of digital health competencies guided by a robust, outcomes-oriented framework.
View Article and Find Full Text PDFInt J Oral Implantol (Berl)
September 2025
Purpose: To present a novel digital workflow (the Columbus Digital Bridge Protocol) for immediately loaded full-arch rehabilitations, integrating digital technologies throughout diagnostic, surgical and prosthetic phases, with a focus on the application of intraoral photogrammetry scanning.
Materials And Methods: The workflow presented in this article, successfully implemented in 14 patients, includes standardised clinical steps: digital diagnostic planning through matching of facial scans and CBCT data, surgical placement of four implants following tooth extraction, immediate post-surgical intraoral photogrammetry scanning using a three-step procedure (i.e.
Front Digit Health
August 2025
FEN - Graduate School in Engineering, State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil.
Background: This paper presents the application of simulation to assess the functionality of a proposed Digital Twin (DT) architecture for immunisation services in primary healthcare centres. The solution is based on Industry 4.0 concepts and technologies, such as IoT, machine learning, and cloud computing, and adheres to the ISO 23247 standard.
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