Naslov
Application of artificial intelligence in dental age estimation

Autori
Tomaić, Mia ; Čular, Luka ; Subašić, Marko ; Šarić, Tea ; Sajković, Viktorija ; Vodanović, Marin

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
17th International Symposium on Dental Morphology & 2nd congress of International Association for Paleodontology / - Bordeaux, 2017, 172-172

Skup
17th International Symposium on Dental Morphology & 2nd congress of International Association for Paleodontology

Mjesto i datum
Bordeaux, Francuska, 04.10.2017. - 07.10.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
artificial intelligence ; dental age estimation

Sažetak
Artificial intelligence is intelligence exhibited by computers and machines in terms of ability of a machine to imitate intelligent human behaviour. The term is also used when a computer mimics cognitive functions that humans associate with other human minds, such as "learning" and "problem solving". This is so called known machine learning. There are numerous examples of application of artificial intelligence in daily life like: virtual personal assistants, smart cars, online customer support, news generation, music and movie recommendation services, etc. There are also many applications of artificial intelligence in medicine for diagnostics and therapeutic purposes improving quality of health care and reducing costs and errors related to human fatigue. Dental age estimation can be defined as determination of a person's age or age group from teeth and dental structures. Dental age estimation techniques can be invasive and non‐ invasive providing more or less reliable results in estimation of age. Skilled and trained experts are required for all techniques. So far there have been no reports of application of artificial intelligence in dental age estimation. The aim of this abstract is to present the preliminary results of a research of an application of a novel dental age estimation technique based on artificial intelligence and machine learning.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Dentalna medicina, Interdisciplinarne biotehničke znanosti

POVEZANOST RADA