AIMC Topic: Gingival Recession

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

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics Feb 15, 2024
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.
Humans Artificial Intelligence Algorithms Female Young Adult Adult Sensitivity and Specificity Male Adolescent Child Dental Plaque Orthodontics, Corrective Gingivitis Oral Hygiene Gingival Recession
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Machine learning for automated identification of anatomical landmarks in ultrasound periodontal imaging.

Dento maxillo facial radiology Mar 1, 2025
OBJECTIVES: To identify landmarks in ultrasound periodontal images and automate the image-based measurements of gingival recession (iGR), gingival height (iGH), and alveolar bone level (iABL) using machine learning.
Humans Machine Learning Female Adult Male Ultrasonography Anatomic Landmarks Gingiva Alveolar Process Gingival Recession
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