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Decoding Deep Learning applications for diagnosis and treatment planning.
Retrouvey, Jean-Marc; Conley, Richard Scott.
Afiliação
  • Retrouvey JM; University of Missouri - Kansas City, Department of Orthodontics (Kansas City/MO, USA).
  • Conley RS; University of Missouri - Kansas City, Department of Orthodontics (Kansas City/MO, USA).
Dental Press J Orthod ; 27(5): e22spe5, 2023.
Article em En | MEDLINE | ID: mdl-36629630
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Aprendizado Profundo Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Dental Press J Orthod Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Aprendizado Profundo Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Dental Press J Orthod Ano de publicação: 2023 Tipo de documento: Article