Artificial Intelligence in Oral Health

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Artificial Intelligence in Oral Health

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Artificial Intelligence in Oral Health

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

30208 - Dentistry, oral surgery and medicine

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Artificial Intelligence for Oral Health Care: Applications and Future Prospects

ISBN

978-3-031-84046-3

Počet stran výsledku

21

Strana od-do

1-21

Počet stran knihy

197

Název nakladatele

Springer Nature

Místo vydání

Cham

Kód UT WoS kapitoly

—