- Dental materials and restorations
- Antenna Design and Analysis
- Microwave Engineering and Waveguides
- Dental Implant Techniques and Outcomes
- Antenna Design and Optimization
- Bone Tissue Engineering Materials
- Endodontics and Root Canal Treatments
- Orthopaedic implants and arthroplasty
- Advanced Antenna and Metasurface Technologies
- Augmented Reality Applications
- Surgical Simulation and Training
- Dental Radiography and Imaging
- Dental Research and COVID-19
- Dental Erosion and Treatment
- Additive Manufacturing and 3D Printing Technologies
- Food Quality and Safety Studies
- Teleoperation and Haptic Systems
- Millimeter-Wave Propagation and Modeling
- Soft Robotics and Applications
- Tea Polyphenols and Effects
- Advanced MIMO Systems Optimization
- Plant Reproductive Biology
- Advanced materials and composites
- Plant Physiology and Cultivation Studies
- Plant Pathogens and Fungal Diseases
Osaka University
2016-2025
Osaka Dental University
2023-2025
Anatolia College
2023
American College
2023
John Wiley & Sons (United States)
2023
Liechtenstein Institute
2023
Engineering Associates (United States)
2023
Mitsubishi Electric (United States)
2012-2022
Osaka University Hospital
2022
Mitsubishi Electric (Japan)
1986-2021
A preventive measure for debonding has not been established and is highly desirable to improve the survival rate of computer-aided design/computer-aided manufacturing (CAD/CAM) composite resin (CR) crowns. The aim this study was assess usefulness deep learning with a convolution neural network (CNN) method predict probability CAD/CAM CR crowns from 2-dimensional images captured 3-dimensional (3D) stereolithography models die scanned by 3D oral scanner. All cases were manufactured April 2014...
To develop a risk of bias tool for pre-clinical dental materials research studies that aims to support reporting future investigations and improve assessment in systematic reviews.A four-stage process following EQUATOR network recommendations was followed, which included project launch, literature review, Delphi the finalization. With European Federation Conservative Dentistry (EFCD) Dental Materials Group International Association Research (DMG-IADR), total 26 expert stakeholders were...
Purpose This study aimed to develop an artificial intelligence (AI) model support the determination of appropriate implant drilling protocol using cone-beam computed tomography (CBCT) images.Methods Anonymized CBCT images were obtained from 60 patients. For each case, after placement, bone regions at site extracted 20 slices images. Based on actual protocol, classified into three categories: protocols A, B, and C. A total 1,200 divided training validation datasets (n = 960, 80%) a test...
The aim of this study was to evaluate the optical properties supra-nano spherical fillers with different diameters and color matching ability resin composites (RC) incorporating these fillers. Two types SiO2–ZrO2 nano (150 nm 260 nm) were used. size distribution each filler measured morphology observed. colors spectral reflection spectra by a reflectometer. Experimental RCs ϕ150-nm/ϕ260-nm (D150RC/D260RC) prepared. For base dentin part, disc specimens (Estelite Astelia: A1B, A2B, A3B, A3.5B,...
A virtual reality (VR) haptic dental training system could be a promising tool for future education. One major challenge is to develop tooth model which similarly reflected real having multiple layers with different mechanical hardness in each layer. The multi-layered was successfully constructed our system. allows us feel cutting similar that tooth. Through experiment by using the tooth, spring coefficient and damping of hard tissue were determined 0.8 N/mm 1.79 Nsec/mm respectively....
Our aim was to evaluate haptic virtual reality (VR) simulation with repetitive training as a tool in teaching caries removal (CR) and periodontal pocket probing (PPP) skills. For the CR simulation, multilayered models composed of tooth substance, caries, pulp were developed. Seven students completed three sessions each, which scored based on volume cut region, number instances handpiece overload, total cutting time. PPP task, we developed disease model 26 received measuring depth. Pocket...
Occlusal overloading causes peri-implant bone resorption. Previous studies examined stress distribution in alveolar around commercial implants using three-dimensional (3D) finite element analysis. However, the contained some different designs. The purpose of this study is to reveal effect target design on and abutment micromovement.Six 3D implant models were created for implant-abutment joints: 1) internal joint model (IM); 2) external (EM); 3) straight (SA) shape; 4) tapered (TA) shapes; 5)...
Nanoparticles (NPs) are currently the focus of considerable attention for dental applications; however, their biological effects have not been fully elucidated. The long-term, slow release matrix metalloproteases (MMPs) digests collagen fibrils within resin-dentin bonds. Therefore, MMP inhibitors can prolong durability However, there few reports evaluating combined effect inhibition and cytotoxic NPs dentin bonding. aim this study was to evaluate responses gold (AuNPs) platinum nanoparticles...
The development of technologies to promote vascularization engineered tissue would drive major developments in engineering and regenerative medicine. Recently, we succeeded fabricating three-dimensional (3D) cell constructs composed mesenchymal stem cells (MSCs). However, the majority within underwent necrosis due a lack nutrients oxygen. We hypothesized that incorporation vascular endothelial improve survival rate aid fabrication biomimetic bone tissues vitro. purpose this study was assess...
High flexural strength of computer-aided manufacturing resin composite blocks (CAD/CAM RCBs) are required in clinical scenarios. However, the conventional vitro approach modifying materials’ composition by trial and error was not efficient to explore effective components that contribute strength. Machine learning (ML) is a powerful tool achieve above goals. Therefore, aim this study develop ML models predict CAD/CAM RCBs affect as first step. The 12 commercially available products were...