Artificial Intelligence in Oral Health
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F25%3A10502598" target="_blank" >RIV/00216208:11110/25:10502598 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-84047-0_1" target="_blank" >https://doi.org/10.1007/978-3-031-84047-0_1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-84047-0_1" target="_blank" >10.1007/978-3-031-84047-0_1</a>
Alternative languages
Result language
angličtina
Original language name
Artificial Intelligence in Oral Health
Original language description
Artificial intelligence (AI) has emerged as a transformative force in various fields, including oral health. At the beginning of this chapter, readers are provided with basic information about machine learning (ML) tasks, deep learning models, and selected metrics. In addition, privacy issues and adversarial attacks are briefly discussed before delving into the applications of AI in oral health. The primary objective of this chapter is to review the applications, benefits, and challenges of integrating AI and specifically ML into oral health, including the detection of oral cancers, dental caries, periodontitis, and other conditions. The available evidence suggests that ML enables early detection, accurate diagnosis, personalized treatment planning, and a better prediction of outcomes. In addition, AI tools reduce the likelihood of human error, thus improving standards in patient care while possibly lowering costs.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
30208 - Dentistry, oral surgery and medicine
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Artificial Intelligence for Oral Health Care: Applications and Future Prospects
ISBN
978-3-031-84046-3
Number of pages of the result
21
Pages from-to
1-21
Number of pages of the book
197
Publisher name
Springer Nature
Place of publication
Cham
UT code for WoS chapter
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