IDEAS home Printed from https://ideas.repec.org/a/dbk/health/v3y2024ip.454id.454.html
   My bibliography  Save this article

Application of Artificial Intelligence in Dentistry

Author

Listed:
  • Ragimova
  • Abdullayev
  • Mirzoyeva
  • Mirzoyeva

Abstract

Dentistry is one of the youngest medical applications of artificial intelligence. Here, artificial intelligence and its various components (machine learning, deep learning, neural networks) are applied at a number of stages, such as diagnosis, decision-making, treatment planning, and prediction. Dental radiology, maxillofacial surgery, orthopedic dentistry is some of the application areas of artificial intelligence in dentistry. Despite some advantages, there are a number of problems (security, legal and ethical problems during decision-making, etc.). Their solution is also related to the development of artificial intelligence application. This updates and improves its future application directions. In the article, the application, management, advantages, application problems, and future directions of artificial intelligence in dentistry are mentioned. Keywords: Dentistry, Artificial Intelligence, Machine Learning, Advantages, Challenges.

Suggested Citation

Handle: RePEc:dbk:health:v:3:y:2024:i::p:.454:id:.454
DOI: 10.56294/hl2024.454
as

Download full text from publisher

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a
for a similarly titled item that would be available.

More about this item

Keywords

;
;
;
;
;

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dbk:health:v:3:y:2024:i::p:.454:id:.454. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Javier Gonzalez-Argote (email available below). General contact details of provider: https://hl.ageditor.ar/ .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.