Instructor Station

Elevating dental education with the DT-Instructor Unit, blending advanced technology with modern functionality

Instructor App

Streamlining dental teaching with in-depth analytics and intuitive management features

Student Station

Enhancing dental skills with the DT-Student, offering students immediate, precise real-time insights

Student App

Bridging intuitive tools with detailed analytics, enhancing dental educational outcomes.

Resources

Scientific Publications

RoboEthics in COVID-19: A Case Study in Dentistry

Application of DenTeach in Remote Dentistry Teaching and Learning During the COVID-19 Pandemic: A Case Study

Applications of Digital Twins in the Healthcare Industry: Case Review of an IoT-Enabled Remote Technology in Dentistry

Patents
Vibrotactile method, apparatus and system for training and practicing dental procedures (US17/271,470, CA3110725A, PCT/CA2019/051190)

A dental procedure training system has one or more apprentice workstations that use data acquired from an instructor workstation Read More

Automated dental articulator and method for training and practicing dental procedures (US17/115,166, CA3101887A)

An automated dental articulator training system has one or more apprectice’s workstations that use data acquired from an instructor’s workstation. Read More

News

Tactile Robotics enters into a University-Industry Research Collaboration agreement with Toronto Metropolitan University

Tactile Robotics enters into a University-Industry Research Collaboration agreement with Toronto Metropolitan University to conduct further research and beta testing of our inventions. This partnership is focused on several areas of Industry 4.0 and Internet of Things (IoT), including DenTeach and iManus technologies.

Dr. Kourosh Zareinia is the lead professor at the Department of Mechanical and Industrial Engineering. While improving people’s health is his number 1 goal, Dr. Zareinia is also motivated by the economic reality of Canadian population drawing more and more on our healthcare system. For a solution, we look to robotics. “Long term, robotics can both reduce health-care costs and improve the quality of care by standardizing medical methods and treatments,” he says.

 
Applications of Digital Twins in the Healthcare Industry: Case Review of an IoT-Enabled Remote Technology in Dentistry

Industries are increasing their adoption of digital twins for their unprecedented ability to control physical entities and help manage complex systems by integrating multiple technologies. Recently, the dental industry has seen several technological advancements, but it is uncertain if dental institutions are making an effort to adopt digital twins in their education. In this work, we employ a mixed-method approach to investigate the added value of digital twins for remote learning in the dental industry.

We examine the extent of digital twin adoption by dental institutions for remote education, shed light on the concepts and benefits it brings, and provide an application-based roadmap for more extended adoption. We report a review of digital twins in the healthcare industry, followed by identifying use cases and comparing them with use cases in other disciplines. We compare reported benefits, the extent of research, and the level of digital twin adoption by industries. We distill the digital twin characteristics that can add value to the dental industry from the examined digital twin applications in remote learning and other disciplines. Then, inspired by digital twin applications in different fields, we propose a roadmap for digital twins in remote education for dental institutes, consisting of examples of growing complexity. We conclude this paper by identifying the distinctive characteristics of dental digital twins for remote learning.

https://www.mdpi.com/2813-2084/1/1/3

DenTeach™ recently received a grant from NRC-IRAP to commercialize its products.

Tactile Robotics receives an NRC-IRAP grant to commercialize the DenTeach™ family, our sophisticated technology is used to achieve high precision, haptic-enabled, instructor-oriented training that utilizes its advanced hardware and software to enhance knowledge transfer from instructor to student. On behalf of our team, we’d like to thank the National Research Council of Canada for continuing to support us.

A recent grant that we received from NRC-IRAP to commercialize the DenTeach™ family, our sophisticated technology is used to achieve high precision, haptic-enabled, instructor-oriented training that utilizes its advanced hardware and software to enhance knowledge transfer from instructor to student.

DenTeach is a novel application of application of digital twins in the healthcare industry, a recent publication in Journal of Visual Worlds discusses.

Abstract: Industries are increasing their adoption of digital twins for their unprecedented ability to control physical entities and help manage complex systems by integrating multiple technologies. Recently, the dental industry has seen several technological advancements, but it is uncertain if dental institutions are making an effort to adopt digital twins in their education. In this work, we employ a mixed-method approach to investigate the added value of digital twins for remote learning in the dental industry. We examine the extent of digital twin adoption by dental institutions for remote education, shed light on the concepts and benefits it brings, and provide an application-based roadmap for more extended adoption. We report a review of digital twins in the healthcare industry, followed by identifying use cases and comparing them with use cases in other disciplines. We compare reported benefits, the extent of research, and the level of digital twin adoption by industries. We distill the digital twin characteristics that can add value to the dental industry from the examined digital twin applications in remote learning and other disciplines. Then, inspired by digital twin applications in different fields, we propose a roadmap for digital twins in remote education for dental institutes, consisting of examples of growing complexity. We conclude this paper by identifying the distinctive characteristics of dental digital twins for remote learning.

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