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This technical report describes a digital process for designing and fabricating a stackable definitive cast and die system to facilitate the fabrication of a new surveyed crown to retrofit to a removable partial denture (RPD). By using an open-source computer-aided design (CAD) software program, this technique provides an economical option for dental clinicians and laboratory technicians to use intraoral scans and design a stackable definitive cast and die system with minimal financial investment in the CAD software. In addition, this technique provides the advantage of a conventional indirect technique in that it can create a definitive cast with an RPD clasp assembly ready for the dental technician to properly contour the new surveyed crown, but without the need for the patient to be without the RPD during the process.
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http://dx.doi.org/10.1016/j.prosdent.2019.02.017 | DOI Listing |
J Esthet Restor Dent
September 2025
Department of Prosthodontics, Seoul National University School of Dentistry, Seoul, Republic of Korea.
Objective: To evaluate the impact of occlusion type and artificial intelligence-based computer-aided design (CAD) software on the geometric accuracy and clinical quality of auto-generated anterior and posterior crown designs.
Methods: Five typodont models representing various occlusion types (normal, Class I anterior diastema, Class II division 1, Class II division 2, and Class III anterior crossbite occlusion) underwent crown preparation for the maxillary right central incisor and first molar. Ten sets of intraoral scans were obtained from each prepared model, and crown designs were automatically generated using two software programs: deep learning-based (DL; Dentbird) and conventional automated (CA; Auto Workflow, 3Shape) (n = 10).
Sci Rep
September 2025
Department of Pathophysiology, School of Pre-clinical Medicine, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
To investigate how aging hallmarks exert roles in the age-related disease of coronary artery disease (CAD). R software and the GEO2R online tool identified differentially expressed genes (DEGs) and differentially expressed microRNAs (DEMis) in CAD microarray datasets from the Gene Expression Omnibus. Genes common to target genes of DEMis, DEGs, and an aging gene list from Human Aging Genomic Resources were then identified and analyzed for protein-protein interactions and functional and pathway enrichment.
View Article and Find Full Text PDFDiagnostics (Basel)
August 2025
Department of Radiology, Anatomical-Patology and Oncology, Sapienza University of Rome, 00162 Rome, Italy.
This study aimed to compare: the performance of K-TIRADS, EU-TIRADS and ACR TIRADS when used by observers with different levels of experience compared with the gold standard of cytology, and to evaluate the diagnostic performance of CAD (computer-aided design) compared with TI-RADS systems. In total, 323 thyroid nodules were evaluated in patients who were candidates for needle aspiration. Three observers with different levels of experience evaluated the diagnostic accuracy of three risk stratification systems (ACR TI-RADS, EU-TIRADS and K-TIRADS) and CAD software (S-Detect, made by Samsung) in characterizing the nodules.
View Article and Find Full Text PDFAm J Dent
August 2025
Department of Prosthodontics, Gwanak Center, Seoul National University Dental Hospital, Seoul, Korea.
Purpose: To evaluate the laboratory accuracy of three intraoral scanners (IOSs) across three types of tooth preparations, using a laboratory scanner as the reference.
Methods: Models of three types of tooth preparations (inlay, onlay, and three-unit fixed partial denture) were designed with CAD software and fabricated using a 3D printer. Reference data were obtained by scanning these models with a desktop laser scanner (Identica Hybrid, Medit Co).
Lancet Digit Health
August 2025
Division of Pulmonary and Critical Care Medicine, University of California San Francisco, San Francisco, CA, USA; Center for Tuberculosis, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, USA; Division of Pediatric Infectious Diseases, University of Ca
Computer-aided detection (CAD) systems for automated reading of chest x-rays (CXRs) have been developed and approved for tuberculosis triage in adults but not in children. However, CXR is frequently the only adjunctive tool for clinical assessment in the evaluation of paediatric tuberculosis in primary care settings, and children would benefit from CAD models that can detect their unique clinical and radiographic features. To advance CAD for childhood tuberculosis, large, diverse paediatric CXR datasets linked to standardised tuberculosis classifications are required.
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