Decoding Deep Learning applications for diagnosis and treatment planning.

Journal: Dental press journal of orthodontics
Published Date:

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.

Authors

  • Jean-Marc Retrouvey
    University of Missouri - Kansas City, Department of Orthodontics (Kansas City/MO, USA).
  • Richard Scott Conley
    University of Missouri - Kansas City, Department of Orthodontics (Kansas City/MO, USA).