Introduction: Dental education always involves live patient treatment, and clinical training for each patient is different for students. Using an intraoral scanner and Simodont Dental Trainer, we can provide students with an opportunity to train on actual patient cases in a virtual environment before real preparation. This study aimed to develop, implement and test patient-specific virtual simulation training in prosthetic dentistry curriculum.
Materials And Methods: Before the actual preparation, the students' patients were scanned using 3Shape intraoral scanner. Thereafter, the .stl file was uploaded to Simodont Dental Trainer (Nissin dental products) where all the scanned teeth were prepared virtually. The 'prepared' .stl file was downloaded and submitted to the teacher. Instruction manuals for virtual simulation patient-specific tasks were provided. The students were asked to voluntarily complete the survey, at the end of the course.
Results: Forty-two 4th year students from the Faculty of Dentistry performed a patient-specific virtual simulation training task and completed a survey. The created training materials served as guidelines for students to perform all the steps on their own without teacher assistance, except in the final step, where the teacher evaluated the digital preparation. Students appreciated the amount of information provided regarding the technologies used and patient-specific tasks. Students admitted that the patient-specific task was more interesting than standard tasks. However, they were not satisfied with the technical performance of Simodont Dental Trainer or the reflection of reality.
Conclusion: Patient-specific virtual simulation can be accepted by students for training before actual teeth preparation in the clinic. However, technical improvements are required in this regard.
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http://dx.doi.org/10.1111/eje.12949 | DOI Listing |
JMIR Res Protoc
January 2025
School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology, Nomi, Japan.
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January 2025
Institute of Automatic Control, Leibniz University Hannover, Hannover, Germany.
In this paper, we present a global reactive motion planning framework designed for robotic manipulators navigating in complex dynamic environments. Utilizing local minima-free circular fields, our methodology generates reactive control commands while also leveraging global environmental information from arbitrary configuration space motion planners to identify promising trajectories around obstacles. Furthermore, we extend the virtual agents framework introduced in Becker et al.
View Article and Find Full Text PDFACS Omega
January 2025
Molecular Cell Biology Laboratory, Integral Centre of Excellence for Interdisciplinary Research (ICEIR-4), Integral University, Kursi Road, Lucknow, Uttar Pradesh 226026, India.
Despite recent breakthroughs in diagnosis and treatment, cancer remains a worldwide health challenge with high mortality. Autophagy plays a major role in the progression and development. Starving cancer cells obtain nutrients through the upregulation of autophagy.
View Article and Find Full Text PDFHematol Oncol Clin North Am
January 2025
Department of Radiation Oncology, The Ohio State University Comprehensive Cancer Center-James, 460 West 10th Avenue, Columbus, OH 43210, USA.
A rapid review of 21 studies into 20 unique digital health tools found significant benefits to utilizing the following 4 categories of tools: (1) educational videos increased patient knowledge of radiotherapy (RT) and reduced treatment-related anxiety; (2) extended reality tools improved patient understanding of RT and reduced anxiety, with virtual reality coaching enhancing tumor motion reproducibility during CT simulation; (3) digital patient engagement tools helped patients manage treatment symptoms, increased health literacy, and improved quality of life; (4) an electronic feedback form decreased patient anxiety and increased RT knowledge. Most interventions were single-use and implemented before the start of RT.
View Article and Find Full Text PDFBrain Stimul
January 2025
Graduate School of Biomedical Engineering, UNSW, Sydney, NSW 2052, Australia; Tyree Foundation Institute of Health Engineering (IHealthE), UNSW, Sydney, NSW 2052, Australia. Electronic address:
Introduction: Current brain-based visual prostheses pose significant challenges impeding adoption such as the necessarily complex surgeries and occurrence of more substantial side effects due to the sensitivity of the brain. This has led to much effort toward vision restoration being focused on the more approachable part of the brain - the retina. Here we introduce a novel, parameterized simulation platform that enables study of human retinal degeneration and optimization of stimulation strategies.
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