Decoding Deep Learning applications for diagnosis and treatment planning

4Citations
Citations of this article
43Readers
Mendeley users who have this article in their library.

Abstract

Introduction: Artificial Intelligence (AI), Machine Learning and Deep Learning are playing an increasingly significant role in the medical field in the 21st century. These recent technologies are based on the concept of creating machines that have the potential to function as a human brain. It necessitates the gathering of large quantity of data to be processed. Once processed with AI machines, these data have the potential to streamline and improve the capabilities of the medical field in diagnosis and treatment planning, as well as in the prediction and recognition of diseases. These concepts are new to Orthodontics and are currently limited to image processing and pattern recognition. Objective: This article exposes and describes the different methods by which orthodontics may benefit from a more widespread adoption of these technologies.

Cite

CITATION STYLE

APA

Retrouvey, J. M., & Conley, R. S. (2022). Decoding Deep Learning applications for diagnosis and treatment planning. Dental Press Journal of Orthodontics, 27(5). https://doi.org/10.1590/2177-6709.27.5.e22spe5

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free