Use of artificial intelligence in determination of bone age of the healthy individuals: A scoping review.

Journal: Journal of the World federation of orthodontists
Published Date: Nov 14, 2023

Abstract

BACKGROUND: Bone age assessment, as an indicator of biological age, is widely used in orthodontics and pediatric endocrinology. Owing to significant subject variations in the manual method of assessment, artificial intelligence (AI), machine learning (ML), and deep learning (DL) play a significant role in this aspect. A scoping review was conducted to search the existing literature on the role of AI, ML, and DL in skeletal age or bone age assessment in healthy individuals.

Authors

  • Adeel Ahmed Bajjad
    Department of Orthodontics, Kothiwal Dental College and Research Centre, Moradabad, India.
  • Seema Gupta
    Department of Orthodontics, Kothiwal Dental College and Research Centre, Moradabad, India. Electronic address: drsgmds3001@gmail.com.
  • Soumitra Agarwal
    Department of Orthodontics, Kothiwal Dental College and Research Centre, Moradabad, India.
  • Rakesh A Pawar
    Department of Orthodontics, JMF ACPM Dental College, Dhule, India.
  • Mansi U Kothawade
    Department of Orthodontics, JMF ACPM Dental College, Dhule, India.
  • Gul Singh
    Department of Orthodontics, Kothiwal Dental College and Research Centre, Moradabad, India.

Keywords

External Resources

Popular Topics
Recent Journals