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Dentronics: Towards robotics and artificial intelligence in dentistry.

Jasmin Grischke¹, Lars Johannsmeier², Lukas Eich¹

¹Robokind Robotics for Mankind Foundation, Appelstrasse 30, 30167 Hannover, Germany.

Dental Materials : Official Publication of the Academy of Dental Materials

|May 1, 2020

Summary

This summary is machine-generated.

Robotics and artificial intelligence (AI), collectively termed Dentronics, offer significant advancements for dentistry. Increased adoption of these technologies promises enhanced accuracy, efficiency, and improved patient outcomes in dental care.

Keywords:

Artificial intelligence Dental robots Dentistry Dentronics Machine learning Robot Robotics

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Area of Science:

Dentistry
Robotics
Artificial Intelligence (AI)
Machine Learning (ML)

Background:

Review of developments in robotics, AI, and ML relevant to dentistry.
Exploration of potential assistive applications enabled by these technologies.

Purpose of the Study:

To provide an overview of current applications and concepts of robotic systems and AI in dentistry.
To advocate for increased utilization of these technologies, termed Dentronics, to advance the field.

Main Methods:

Systematic literature search in PubMed yielding 558 results.
Inclusion of 41 studies on ML, 53 on AI, and 49 on robotics in dentistry.
Evaluation of state-of-the-art applications in AI, ML, and robotics within dentistry.

Main Results:

AI and ML are used in dental research for data analysis to support decision-making, diagnosis, prognosis, and treatment planning.
Few robotic applications have been realized, primarily limited to pilot use cases.
Extensive data analysis capabilities of ML and AI are being leveraged for data-driven insights.

Conclusions:

Dentistry can be transformed by digital automation, entering a new era of robotic, ML, and AI integration.
Dentronics will improve reliability, reproducibility, accuracy, and efficiency in dental procedures.
Future applications include enhanced understanding of disease, improved risk assessment, diagnosis, prediction, and treatment outcomes.