Assessment of artificial intelligence-based remote monitoring of clear aligner therapy: A prospective study.

Journal: American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics
PMID: 36997411

Abstract

INTRODUCTION: Artificial intelligence remote monitoring of clear aligner therapy has recently gained popularity. It uses deep learning algorithms on a patient's mobile smartphone to determine readiness to progress to the next aligner (ie, GO vs NO-GO) and identify areas in which the teeth are not tracking with the clear aligners. This study aimed to assess the repeatability of the Go or No-Go instructions provided by the application and to determine the 3-dimensional discrepancies that constitute an unseat.

Authors

  • Thomas Ferlito
    Department of Developmental Biology, Harvard School of Dental Medicine, Boston, Mass.
  • Desiree Hsiou
    Department of Developmental Biology, Harvard School of Dental Medicine, Boston, Mass.
  • Kadriye Hargett
    Department of Developmental Biology, Harvard School of Dental Medicine, Boston, Mass.
  • Camille Herzog
    Department of Developmental Biology, Harvard School of Dental Medicine, Boston, Mass.
  • Petra Bachour
    Department of Developmental Biology, Harvard School of Dental Medicine, Boston, Mass; School of Dentistry, University of Minnesota, Minneapolis, Minn.
  • Negin Katebi
    Department of Developmental Biology, Harvard School of Dental Medicine, Boston, Mass.
  • Oluwabunmi Tokede
    Oral Healthcare Quality and Safety, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
  • Brent Larson
    Department of Developmental and Surgical Sciences and Division of Orthodontics, School of Dentistry, University of Minnesota, Minneapolis, Minn.
  • Mohamed I Masoud
    Department of Developmental Biology, Harvard School of Dental Medicine, Boston, Mass; Private practice, Falls Church, Va; Department of Orthodontics, College of Dentistry, Howard University, Washington, DC. Electronic address: masoudortho@gmail.com.

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