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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
Descripción
Sumario: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.