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Decoding Deep Learning applications for diagnosis and treatment planning

INTRODUCTION: Artificial Intelligence (AI), Machine Learning and Deep Learning are playing an increasingly significant role in the medical field in the 21(st) century. These recent technologies are based on the concept of creating machines that have the potential to function as a human brain. It nec...

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Detalles Bibliográficos
Autores principales: RETROUVEY, Jean-Marc, CONLEY, Richard Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dental Press International 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829109/
https://www.ncbi.nlm.nih.gov/pubmed/36629630
http://dx.doi.org/10.1590/2177-6709.27.5.e22spe5
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author RETROUVEY, Jean-Marc
CONLEY, Richard Scott
author_facet RETROUVEY, Jean-Marc
CONLEY, Richard Scott
author_sort RETROUVEY, Jean-Marc
collection PubMed
description INTRODUCTION: Artificial Intelligence (AI), Machine Learning and Deep Learning are playing an increasingly significant role in the medical field in the 21(st) 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.
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spelling pubmed-98291092023-01-10 Decoding Deep Learning applications for diagnosis and treatment planning RETROUVEY, Jean-Marc CONLEY, Richard Scott Dental Press J Orthod Special Article INTRODUCTION: Artificial Intelligence (AI), Machine Learning and Deep Learning are playing an increasingly significant role in the medical field in the 21(st) 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. Dental Press International 2023-01-06 /pmc/articles/PMC9829109/ /pubmed/36629630 http://dx.doi.org/10.1590/2177-6709.27.5.e22spe5 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License
spellingShingle Special Article
RETROUVEY, Jean-Marc
CONLEY, Richard Scott
Decoding Deep Learning applications for diagnosis and treatment planning
title Decoding Deep Learning applications for diagnosis and treatment planning
title_full Decoding Deep Learning applications for diagnosis and treatment planning
title_fullStr Decoding Deep Learning applications for diagnosis and treatment planning
title_full_unstemmed Decoding Deep Learning applications for diagnosis and treatment planning
title_short Decoding Deep Learning applications for diagnosis and treatment planning
title_sort decoding deep learning applications for diagnosis and treatment planning
topic Special Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829109/
https://www.ncbi.nlm.nih.gov/pubmed/36629630
http://dx.doi.org/10.1590/2177-6709.27.5.e22spe5
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