Computational Intelligence and Augmented Reality in Stomatology

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F25%3A10510589" target="_blank" >RIV/00064203:_____/25:10510589 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11110/25:10510589 RIV/00216208:11130/25:10510589 RIV/00216208:11150/25:10510589

Result on the web

<a href="https://doi.org/10.1002/9781394302864.ch7" target="_blank" >https://doi.org/10.1002/9781394302864.ch7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/9781394302864.ch7" target="_blank" >10.1002/9781394302864.ch7</a>

Result language

angličtina

Original language name

Computational Intelligence and Augmented Reality in Stomatology

Original language description

Computational intelligence and augmented reality in stomatology form a specific area based on the use of general digital signal and image processing methods in dentistry. Associated methods allow the transition from traditional plaster cast examination to digital and three-dimensional (3D) modeling of dental objects, mathematical analysis of dental tissue disorders, and objective evaluation of the treatment progress. It delves into how machine learning, especially deep learning and convolutional neural networks, revolutionizes the identification of stomatological disorders and the classification of dental caries through the construction of sophisticated mathematical models. Highlighting a range of digital techniques employed in the field, the review focuses on the adoption of intra-oral scanning technology for precise data capturing and analysis of dental arches&apos; key characteristics. It also examines computational methods for analyzing reflectivity data to differentiate between healthy tissues and caries, leveraging deep learning for enhanced accuracy. Furthermore, the chapter covers augmented reality&apos;s role in dental medicine, showcasing its utility in signal processing, morphological analysis of spatial objects, and monitoring treatment progress through detailed 3D models. These models facilitate the comparison of dental arch shapes and positions over time, offering a digital alternative to physical casts for semi-automatic evaluation of dental metrics. Additionally, it underscores computational intelligence&apos;s potential in assessing dental tissue reflectivity, opening new avenues for non-invasive diagnosis of dental issues. Conclusively, the study affirms the significant advantages of 3D digital technologies over traditional methods in stomatology, proving how a broad interdisciplinary collaboration, artificial intelligence, and deep learning can significantly enhance diagnostic processes and treatment outcomes in dental care.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

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OECD FORD branch

30208 - Dentistry, oral surgery and medicine

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name

Augmented and Virtual Reality in Immersive Healthcare

ISBN

978-1-394-30283-3

Number of pages of the result

32

Pages from-to

175-206

Number of pages of the book

576

Publisher name

Scrivener Publishing

Place of publication

Beverly

UT code for WoS chapter

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