Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1784867407882354688 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9829109 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dental Press International |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT retrouveyjeanmarc decodingdeeplearningapplicationsfordiagnosisandtreatmentplanning AT conleyrichardscott decodingdeeplearningapplicationsfordiagnosisandtreatmentplanning |