Clinical evaluation of Artificial Intelligence Driven Remote Monitoring technology for assessment of patient oral hygiene during orthodontic treatment.

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: 38363256

Abstract

INTRODUCTION: This study aimed to clinically evaluate the accuracy of Dental Monitoring's (DM) artificial intelligence (AI) image analysis and oral hygiene notification algorithm in identifying oral hygiene and mucogingival conditions.

Authors

  • Vivian Snider
    Department of Orthodontics, College of Dentistry, University of Illinois Chicago, Chicago, Illinois, USA.
  • Karen Homsi
    Department of Orthodontics, College of Dentistry, University of Illinois Chicago, Chicago, Illinois, USA.
  • Budi Kusnoto
  • Phimon Atsawasuwan
    Department of Orthodontics, College of Dentistry, University of Illinois Chicago, Chicago, Illinois, USA.
  • Grace Viana
    Department of Orthodontics, College of Dentistry, University of Illinois Chicago, Chicago, Illinois, USA.
  • Veerasathpurush Allareddy
    Department Head and Brodie Craniofacial Endowed Chair, Department of Orthodontics - University of Illinois at Chicago College of Dentistry, Chicago, IL, USA.
  • Praveen Gajendrareddy
    Department of Periodontics, College of Dentistry, University of Illinois Chicago, Chicago, Illinois, USA.
  • Mohammed H Elnagar

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